{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data visualization with t-SNE\n",
    "\n",
    "Welcome to your 3-rd assignment in Unsupervised Machine Learning in Finance. This exercise will provide hands-on experience with non-linear models such as KernelPCA and t-SNE.\n",
    "\n",
    "**Instructions:**\n",
    "- You will be using Python 3.\n",
    "- Avoid using for-loops and while-loops, unless you are explicitly told to do so.\n",
    "- Do not modify the (# GRADED FUNCTION [function name]) comment in some cells. Your work would not be graded if you change this. Each cell containing that comment should only contain one function.\n",
    "- After coding your function, run the cell right below it to check if your result is correct.\n",
    "\n",
    "**After this assignment you will:**\n",
    "- Be able to use KernelPCA to construct eigen-portfolios\n",
    "- Calculate un-expected log-returns \n",
    "- Visualize multi-dimensional data using t-SNE\n",
    "\n",
    "Let's get started!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## About iPython Notebooks ##\n",
    "\n",
    "iPython Notebooks are interactive coding environments embedded in a webpage. You will be using iPython notebooks in this class. You only need to write code between the ### START CODE HERE ### and ### END CODE HERE ### comments. After writing your code, you can run the cell by either pressing \"SHIFT\"+\"ENTER\" or by clicking on \"Run Cell\" (denoted by a play symbol) in the upper bar of the notebook. \n",
    "\n",
    "We will often specify \"(≈ X lines of code)\" in the comments to tell you about how much code you need to write. It is just a rough estimate, so don't feel bad if your code is longer or shorter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn import preprocessing\n",
    "import datetime\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn import neighbors\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.svm import SVC\n",
    "import operator\n",
    "\n",
    "import sys\n",
    "sys.path.append(\"..\")\n",
    "import grading\n",
    "\n",
    "try:\n",
    "    import matplotlib.pyplot as plt\n",
    "    %matplotlib inline\n",
    "except:\n",
    "    pass\n",
    "\n",
    "from sklearn.decomposition import KernelPCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### ONLY FOR GRADING. DO NOT EDIT ###\n",
    "submissions=dict()\n",
    "assignment_key=\"SgjoDxBsEeidDQqwEEcflg\" \n",
    "all_parts=[\"yzL4C\", \"B3CHT\", \"jxlkt\",\"miiAE\",\"VOnND\"]\n",
    "### ONLY FOR GRADING. DO NOT EDIT ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# COURSERA_TOKEN = # the key provided to the Student under his/her email on submission page\n",
    "# COURSERA_EMAIL = # the email\n",
    "COURSERA_TOKEN= \" \"\n",
    "COURSERA_EMAIL= \" \""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def check_for_nulls(df):\n",
    "    \"\"\"\n",
    "    Test and report number of NAs in each column of the input data frame\n",
    "    :param df: pandas.DataFrame\n",
    "    :return: None\n",
    "    \"\"\"\n",
    "    for col in df.columns.values:\n",
    "        num_nans = np.sum(df[col].isnull())\n",
    "        if num_nans > 0:\n",
    "            print('%d Nans in col %s' % (num_nans, col))\n",
    "    print('New shape of df: ', df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Asset prices shape (3493, 419)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>AA</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABC</th>\n",
       "      <th>ABT</th>\n",
       "      <th>ADBE</th>\n",
       "      <th>ADI</th>\n",
       "      <th>ADM</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADSK</th>\n",
       "      <th>AEE</th>\n",
       "      <th>AEP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-27</th>\n",
       "      <td>46.1112</td>\n",
       "      <td>78.9443</td>\n",
       "      <td>3.9286</td>\n",
       "      <td>4.5485</td>\n",
       "      <td>13.7898</td>\n",
       "      <td>15.6719</td>\n",
       "      <td>48.0313</td>\n",
       "      <td>10.8844</td>\n",
       "      <td>39.5477</td>\n",
       "      <td>8.1250</td>\n",
       "      <td>32.9375</td>\n",
       "      <td>33.5625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <td>45.8585</td>\n",
       "      <td>77.8245</td>\n",
       "      <td>3.6295</td>\n",
       "      <td>4.5485</td>\n",
       "      <td>14.2653</td>\n",
       "      <td>14.3906</td>\n",
       "      <td>47.7500</td>\n",
       "      <td>10.7143</td>\n",
       "      <td>38.5627</td>\n",
       "      <td>7.7188</td>\n",
       "      <td>32.3125</td>\n",
       "      <td>33.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-31</th>\n",
       "      <td>44.5952</td>\n",
       "      <td>78.0345</td>\n",
       "      <td>3.7054</td>\n",
       "      <td>4.3968</td>\n",
       "      <td>14.5730</td>\n",
       "      <td>13.7656</td>\n",
       "      <td>46.7500</td>\n",
       "      <td>10.6576</td>\n",
       "      <td>37.3807</td>\n",
       "      <td>7.6406</td>\n",
       "      <td>32.5625</td>\n",
       "      <td>33.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>47.8377</td>\n",
       "      <td>80.7640</td>\n",
       "      <td>3.5804</td>\n",
       "      <td>4.5333</td>\n",
       "      <td>14.7128</td>\n",
       "      <td>13.9688</td>\n",
       "      <td>49.0000</td>\n",
       "      <td>10.8844</td>\n",
       "      <td>37.9717</td>\n",
       "      <td>7.9219</td>\n",
       "      <td>32.5625</td>\n",
       "      <td>33.6875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-02</th>\n",
       "      <td>51.5434</td>\n",
       "      <td>83.4934</td>\n",
       "      <td>3.5290</td>\n",
       "      <td>4.5788</td>\n",
       "      <td>14.7968</td>\n",
       "      <td>15.3281</td>\n",
       "      <td>48.1250</td>\n",
       "      <td>10.6576</td>\n",
       "      <td>35.9032</td>\n",
       "      <td>7.9688</td>\n",
       "      <td>32.5625</td>\n",
       "      <td>33.6250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  A       AA    AAPL     ABC      ABT     ADBE      ADI  \\\n",
       "2000-01-27  46.1112  78.9443  3.9286  4.5485  13.7898  15.6719  48.0313   \n",
       "2000-01-28  45.8585  77.8245  3.6295  4.5485  14.2653  14.3906  47.7500   \n",
       "2000-01-31  44.5952  78.0345  3.7054  4.3968  14.5730  13.7656  46.7500   \n",
       "2000-02-01  47.8377  80.7640  3.5804  4.5333  14.7128  13.9688  49.0000   \n",
       "2000-02-02  51.5434  83.4934  3.5290  4.5788  14.7968  15.3281  48.1250   \n",
       "\n",
       "                ADM      ADP    ADSK      AEE      AEP  \n",
       "2000-01-27  10.8844  39.5477  8.1250  32.9375  33.5625  \n",
       "2000-01-28  10.7143  38.5627  7.7188  32.3125  33.0000  \n",
       "2000-01-31  10.6576  37.3807  7.6406  32.5625  33.5000  \n",
       "2000-02-01  10.8844  37.9717  7.9219  32.5625  33.6875  \n",
       "2000-02-02  10.6576  35.9032  7.9688  32.5625  33.6250  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load dataset\n",
    "asset_prices = pd.read_csv(os.getcwd() + '/data/spx_holdings_and_spx_closeprice.csv',\n",
    "                     date_parser=lambda dt: pd.to_datetime(dt, format='%Y-%m-%d'),\n",
    "                     index_col = 0).dropna()\n",
    "n_stocks_show = 12\n",
    "print('Asset prices shape', asset_prices.shape)\n",
    "asset_prices.iloc[:, :n_stocks_show].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last column contains SPX index prices:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STJ</th>\n",
       "      <th>SVU</th>\n",
       "      <th>SWY</th>\n",
       "      <th>TEG</th>\n",
       "      <th>TER</th>\n",
       "      <th>TGNA</th>\n",
       "      <th>THC</th>\n",
       "      <th>X</th>\n",
       "      <th>MAR.1</th>\n",
       "      <th>SPX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-27</th>\n",
       "      <td>5.5918</td>\n",
       "      <td>86.6178</td>\n",
       "      <td>26.3983</td>\n",
       "      <td>11.3873</td>\n",
       "      <td>65.8677</td>\n",
       "      <td>22.1921</td>\n",
       "      <td>60.9705</td>\n",
       "      <td>20.7086</td>\n",
       "      <td>12.2457</td>\n",
       "      <td>1398.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <td>5.4520</td>\n",
       "      <td>82.4218</td>\n",
       "      <td>27.4137</td>\n",
       "      <td>11.2230</td>\n",
       "      <td>60.3487</td>\n",
       "      <td>21.7558</td>\n",
       "      <td>62.3032</td>\n",
       "      <td>20.1183</td>\n",
       "      <td>12.0742</td>\n",
       "      <td>1360.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-31</th>\n",
       "      <td>5.5499</td>\n",
       "      <td>86.3181</td>\n",
       "      <td>28.2444</td>\n",
       "      <td>11.0862</td>\n",
       "      <td>62.1484</td>\n",
       "      <td>22.0533</td>\n",
       "      <td>60.6373</td>\n",
       "      <td>19.5772</td>\n",
       "      <td>12.1722</td>\n",
       "      <td>1394.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>5.4240</td>\n",
       "      <td>83.0212</td>\n",
       "      <td>28.7982</td>\n",
       "      <td>11.1683</td>\n",
       "      <td>67.3674</td>\n",
       "      <td>22.2120</td>\n",
       "      <td>60.4708</td>\n",
       "      <td>19.5772</td>\n",
       "      <td>12.5151</td>\n",
       "      <td>1409.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-02</th>\n",
       "      <td>5.3541</td>\n",
       "      <td>81.5226</td>\n",
       "      <td>28.6136</td>\n",
       "      <td>11.1956</td>\n",
       "      <td>68.9271</td>\n",
       "      <td>22.6483</td>\n",
       "      <td>62.4698</td>\n",
       "      <td>19.5281</td>\n",
       "      <td>12.3192</td>\n",
       "      <td>1409.12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               STJ      SVU      SWY      TEG      TER     TGNA      THC  \\\n",
       "2000-01-27  5.5918  86.6178  26.3983  11.3873  65.8677  22.1921  60.9705   \n",
       "2000-01-28  5.4520  82.4218  27.4137  11.2230  60.3487  21.7558  62.3032   \n",
       "2000-01-31  5.5499  86.3181  28.2444  11.0862  62.1484  22.0533  60.6373   \n",
       "2000-02-01  5.4240  83.0212  28.7982  11.1683  67.3674  22.2120  60.4708   \n",
       "2000-02-02  5.3541  81.5226  28.6136  11.1956  68.9271  22.6483  62.4698   \n",
       "\n",
       "                  X    MAR.1      SPX  \n",
       "2000-01-27  20.7086  12.2457  1398.56  \n",
       "2000-01-28  20.1183  12.0742  1360.16  \n",
       "2000-01-31  19.5772  12.1722  1394.46  \n",
       "2000-02-01  19.5772  12.5151  1409.28  \n",
       "2000-02-02  19.5281  12.3192  1409.12  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Last column contains SPX index prices:')\n",
    "asset_prices.iloc[:, -10:].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New shape of df:  (3493, 419)\n"
     ]
    }
   ],
   "source": [
    "check_for_nulls(asset_prices)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate price log-returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>AA</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABC</th>\n",
       "      <th>ABT</th>\n",
       "      <th>ADBE</th>\n",
       "      <th>ADI</th>\n",
       "      <th>ADM</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADSK</th>\n",
       "      <th>AEE</th>\n",
       "      <th>AEP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <td>-0.005495</td>\n",
       "      <td>-0.014286</td>\n",
       "      <td>-0.079188</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.033901</td>\n",
       "      <td>-0.085294</td>\n",
       "      <td>-0.005874</td>\n",
       "      <td>-0.015751</td>\n",
       "      <td>-0.025222</td>\n",
       "      <td>-0.051287</td>\n",
       "      <td>-0.019158</td>\n",
       "      <td>-0.016902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-31</th>\n",
       "      <td>-0.027934</td>\n",
       "      <td>0.002695</td>\n",
       "      <td>0.020696</td>\n",
       "      <td>-0.033921</td>\n",
       "      <td>0.021340</td>\n",
       "      <td>-0.044402</td>\n",
       "      <td>-0.021165</td>\n",
       "      <td>-0.005306</td>\n",
       "      <td>-0.031131</td>\n",
       "      <td>-0.010183</td>\n",
       "      <td>0.007707</td>\n",
       "      <td>0.015038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>0.070188</td>\n",
       "      <td>0.034380</td>\n",
       "      <td>-0.034317</td>\n",
       "      <td>0.030573</td>\n",
       "      <td>0.009547</td>\n",
       "      <td>0.014654</td>\n",
       "      <td>0.047006</td>\n",
       "      <td>0.021057</td>\n",
       "      <td>0.015687</td>\n",
       "      <td>0.036155</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-02</th>\n",
       "      <td>0.074610</td>\n",
       "      <td>0.033236</td>\n",
       "      <td>-0.014460</td>\n",
       "      <td>0.009987</td>\n",
       "      <td>0.005693</td>\n",
       "      <td>0.092861</td>\n",
       "      <td>-0.018019</td>\n",
       "      <td>-0.021057</td>\n",
       "      <td>-0.056015</td>\n",
       "      <td>0.005903</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-03</th>\n",
       "      <td>0.016208</td>\n",
       "      <td>-0.031506</td>\n",
       "      <td>0.044531</td>\n",
       "      <td>-0.006639</td>\n",
       "      <td>0.005654</td>\n",
       "      <td>0.119028</td>\n",
       "      <td>0.094129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.065054</td>\n",
       "      <td>0.034679</td>\n",
       "      <td>0.011451</td>\n",
       "      <td>0.032910</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A        AA      AAPL       ABC       ABT      ADBE  \\\n",
       "2000-01-28 -0.005495 -0.014286 -0.079188  0.000000  0.033901 -0.085294   \n",
       "2000-01-31 -0.027934  0.002695  0.020696 -0.033921  0.021340 -0.044402   \n",
       "2000-02-01  0.070188  0.034380 -0.034317  0.030573  0.009547  0.014654   \n",
       "2000-02-02  0.074610  0.033236 -0.014460  0.009987  0.005693  0.092861   \n",
       "2000-02-03  0.016208 -0.031506  0.044531 -0.006639  0.005654  0.119028   \n",
       "\n",
       "                 ADI       ADM       ADP      ADSK       AEE       AEP  \n",
       "2000-01-28 -0.005874 -0.015751 -0.025222 -0.051287 -0.019158 -0.016902  \n",
       "2000-01-31 -0.021165 -0.005306 -0.031131 -0.010183  0.007707  0.015038  \n",
       "2000-02-01  0.047006  0.021057  0.015687  0.036155  0.000000  0.005581  \n",
       "2000-02-02 -0.018019 -0.021057 -0.056015  0.005903  0.000000 -0.001857  \n",
       "2000-02-03  0.094129  0.000000  0.065054  0.034679  0.011451  0.032910  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "asset_returns = np.log(asset_prices) - np.log(asset_prices.shift(1))\n",
    "asset_returns = asset_returns.iloc[1:, :]\n",
    "asset_returns.iloc[:, :n_stocks_show].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 1 (Calculate Moving Average)\n",
    "**Instructions:**\n",
    "\n",
    "- Calculate 20 and 100-day moving average of SPX Index price based on **spx_index** pd.core.series.Series\n",
    "- Assign results to **short_rolling_spx** and **long_rolling_spx** respectively\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CCCFEBUss3KOlmS4BgGTHWrayHZYGADyo3YmqcYDASD7f/zkZ+RkMazjsjkxa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UAAAg\nAElEQVSENvd1cV2beZ7ZObPszsx5zjm/U+m4aDQCZquEPwV4Zm5RZJD1zlHOioaTfcL61Is9oKSK\nFZusfHVQYiwQKuRUs/nVPw4B0Fwo//4Et8KvWGmIasntQ58m0Wwv+QjX8IW8s19RQPzghg9U+WOV\nWlOriEuF41L1X23o27cv4eHVvf8RI0ag1Sp+U/fu3UlPT8dqVdIrFi1axKOPKgVa0dHR9O/fn6VL\nl9rHHnroIURRxM/Pj/j4eL7//vta2aJSfxi0IplSeVpBbhIAVptMkwB3vKVCcPevts+43tH8MakP\nfWLKc6wReMVyLwDNNancnf8Z7P7OaZ+7W9yNJEvsyNyBikpD8L9lygprIPk8Kf5M823PQYrirIz7\nqjKy0lNzgEe1y8iRPTEIVuRvR0NOzb1WADYcz+atlUdYsPkkL2q/4V39J7yv/5ibxO2cCegGd35n\n7yYN8PR/3OnQcSV/ZnxGtHc0v922mBb+zdghNyM/uBvy/p8IJI+7xLXKDp3G1v2HoXLNoNdW3v5T\n5UDEQuVBM8IzQtmmOi7VkBwiLG2FE2xMWFFvx3KMuKzdtJmQzTP512UCWlMB9JzoNNcm2Vh2YhlN\nvZvWW5oYKEIcZqvEL0fNAPjiHH1OzimxR/LsTo1vFH7uevucaJc+DAwfjuiSgU228nrf1+tctlnl\n2uaKkIF5//33GTZsmN2RSUlJoXHjxvbxqKgoUlJSzjtWldmzZxMeHm7/V1xcXI9ncX1zPKuY1Tn+\nSC4+kKg8OFklGVEASrPBrXrEpQKtWPlwtk9uQrzpRb6yDlY2bHzfaW6n4E4ArElZU7cnoKJyHmbo\nFjBFt4TOub8jfTmUE+u+Jym7QoZYZqr2R6yClpHmV3jYPBnBUgJLxtX4XrIsc98X2wCIE1J5QLuS\nHNmTz6zDecT8FBu6z7U7LbnGXJ5Y8wSfHn+C42VraRPQhg9v+JBAt8DyfHKB33VD0CDxjm4u//FO\nBFe/aqkkKiqOODouZ2QfNGU5IMs0cm+EVtCSWqg6LlXJLlYe2NsKJ/jN8CKL9C9B4anz7HVxVERc\n7hTXsEo/jVtNv2KWRXJ6vABt453m7sveR6G5kP4R/etVuKaiN1suSv2Un+DsuJRZbNzUWony3Rxb\n3pjW1dfJcRE1Au8NfINfRv7CH7f9oSqFqlwwl10GZuHChSxevJj169fX+XtPmTKFKVOm2P+uKfKj\nUnfYECnwbYNv1g6QZaw2CV+dBaxGcD+741JVrnOr3IKdcktcrWbizyTAts+hq1KIGOoRSrdG3Vh9\ncjWnik8R6hFan6ekch2TUVDGrXM2ATBCs5Gbxa2ckgP4zDqM57XfErzmKQJ4l2y8mar9kU6aYxxo\nNIohoV35YkMg+c1uZ1vqH6z8dRrdmnfmhsgbCHBVfgcTv6/sd1TRKHKC+Sm2yYpM8ZRwHzaf2szG\n9I38dOwnii3FDG48mDGtxjipgx3JVB4cXjweR6SuDX3FfVACdLjXKVqjolIV0aGXS7bsjcZmgrI8\ntG5+tPBvwdbTWykyF+Gp9zzHu1xffL05GS1WZus+AUAv2ODUbvCq+/tQXqmFMM7whm4exbILk82P\nkyC1Y2XXYdV+21/u/xIBgSFRQ+rcDkcCPBRnJFcud1yqRFxskkxyTiluepEOfhZIBjyC8bNUprpW\nfO+a+jStV1tVrl0ua8Rl0aJFzJw5k9WrVxMcHGzfHhkZycmTJ+1/JycnExkZed4xlcuPyTMSrGVQ\nnInZKhEhZCkD7oFn3afiYuiIxSbzpjWeYq0PrHsTSipzaUfHjQZgXdq6ujVeRcWBef8kcbrQiDfF\nTNMtQhZduMf8LF/ZbuJJy0Q8BCN3iAm0FJJ5QvsLaXIAWyMf5MCpAnQ+Wxho2svU4EBW5a/g5S0v\nM2jJICb+PZHFRxazfL+SQhZIHvdq17AttA17Q/bjGjGfFh2/YszfQ3l49cMsOLiAANcA3uz7Ju/0\nf4d2ge2cJI1v76gsxsho+Mx2s/01/Z9r+A9M5arCy6Vy3TJJLm8EmKM0OBzceDBl1jKO5h29HKZd\nkSzfm4HRItFBOE6M5hSbbC2VgT3fnXvHi+RQRiGDRKUv1NOWR1kudacEV6dIGYDZZmbb6W20D2pf\np/2ZaqLi2MW4YpZF/IRCAJoJKczVvYumMJ0io4VwX1eEotMgGqpFXLzUprQql0itIi41pWL5+Pjg\n5XXx3U0XL17MCy+8wF9//VXN8Rg9ejRz586le/fuJCUlkZCQwMcff2wf+/zzzxk9ejQFBQUsWrSI\n33///aLtUKlb8g1hhADJx/ZzqsBED2154XLTs+fdtmhU8/coB28+LBvKs9bvkXZ/i6bXk4CieuOu\nc+fTPZ8yKnZUvejVq1y/TF28x974TcTGG7rPCReyYcBMkn5XHvD+ljpSLLvwmPZXHtatxWbVMNn8\nGD00fnRts4MDR3/BavPlljwYZUrhEWEMrTvmsy5tHevS1uERY8Ba2oQe3hmMMAaTrC9AZ/gXvcZA\nmexBlHcUgxoPoltIN1r6t0TUVO9ODxAX7EkjbxcyCoxskNpwr/lZHu0fR2/vsAb7vFSuThwd4BMV\njkv2UYjoSmMvJR07pTDFnp57vfPMkj0ADBGVura3rXfwrPAdnY+uRLAYQedSJ8fZkZzLqLmbAZl/\n9CvIl91ZL7W1j+urKHJ+sucTSiwl9A3vWyfHPxdae5ROIBcve6rYw9rl3CRup3jtw5SZXibIywWy\nj4B3GAgCHg5OsqfLZU/0UbnKqVXEpVOnTkRHRxMXF0dcXBzR0dFERETQqlUrJ4njmnjkkUcIDw8n\nLS2NIUOG2HvB3HPPPRiNRkaOHEn79u1p3749OTnKqvozzzxDWVkZTZs2ZciQIXz00UcEBCgpFvfd\ndx/NmzcnNjaWLl26MGXKFNq0aXMpn4FKHfLuv0oTvrUblRQbXWGyMhB2YTe/+M5Kgej3NsXhyTvx\nr33MS+/FuNbjyDHmsDlDlUZWqTtsUmW3aoAntEsZKm7HGNYTek3ikb5NADCjY7XUCQ/BiI81i/z+\nr+ER14euzYtZcOxNNLI7hSceIyvnZtqZTcwpS2De4M/5a9Qaeng9jGQOwuB5hHW2PKx6V26LuZVf\nR/7Kv/ftICE+gUU3L+LBNg/SJrDNWZ2WChwfBDZIbTjtX/cds1WubTJlX+VFqXIPVgv0q1NqtuFF\nCQ/oVlHsEcUeuSnrbO0QbGbIOPdz0IWgOC0QTB4RmjOs0/WmlEqnSFfFcVl9cjXBbsGMbTW2zmw4\nG45tDPJkT0KEXO4U13C7+A8AHnkH8TZnEiukQ16yfcHS0dnyclUXGlUujVq5vuPHj6d58+bcf//9\nyLLMwoUL2b9/P7169WLixIls2LDhrPt++umnNW63WCw1bgdwd3dn0aJFNY6JosicOXNqY7ZKA9K9\niR9bEnPZKcVikwU6mrYBnejlkwc2f3A5d3Ru0cPdWbQ9lZ93Kbrws0a1ZdGOVApxJ1v2Qs5Ndpo/\nNGooc3bP4cNdHzbISpPK9YFj48jmQgpPaX8mSQom6M7vQRB4dlgLPl2v9Lt40fIAmbIvA26+h2bd\nhzGzYwr3/HEPAgJNbU/xr82TlXThZ1tvbhM3wKmddPvwNNAEeIzNPs8SaExFO/aPc8omn4+YIA+O\nZlYKj3SL9rvo91K5PimjPF3XrMj9VvQBSa5YeLrOWb43A4A7ApMRi2x49J3IqJQoNv7bmqf5EXZ+\nA5HdL/k4jk0nu2kUWWH/2K6wC1x1IpNujMXdUPnYtjNzJycLT3J77O31WpRfgc6hLmqL1IIHtCt5\nQzfPaU6s9SgtpXLnJFrpI6V12M9LjbioXCK1irisXLmSsWPHIggCGo2GMWPG8NdffzFy5EgKCgrq\n20aVqwAB5cJ0Bh+Oy2EEm5IQkAgxJkLw+XvsdGviz+z49k7bYoI8AKVBmlfxCTAW2scivCK4ucnN\nHM49zKni6qouCUeyOJRROX/gOwk89cOuavOqsmJfBqfyy847T+XapMTBceml2QdASrcZuHtWdhBf\n/8wAPAxainHjDevdNGo/iL1n9nLvH/eSb8rn1d6vkp5ZWdM133oTVjTw1//s2yKELBoZU9C2v+eS\nnBaA125tw0N9onlrVFuS3xiudrFXuWDKKK9BsCiOi4vWhdb+rdmQvoEy6/V9PUw4ksXj3ynNZfsV\n/aFsbDIAnVZglxxLhhiGnLqtTo6VX1qxoCszWfcz6NzoftM9bHl2IIdevolH+zkXtC84sAABgTub\n31knxz8fkkO/zZ9tzv1iZlkUG+JIJgillxu+UYCzEISnWuOiconUynExmUwcO3bM/vexY8cwGpVu\nz6J47jQGleuDLUmVxfM5sheu5ly6aw4pkrDhtddof/HmljxT3tDreJayirzE1heDtQh2f+s0t2do\nTwD+Tvm72vuMnb+doe8r4WubJHPiTAm/7D67bGVGQRlR05cz4dud3PGpmn52vfL73orviMxd7juR\nBZF+N45wmhPp70aHyEpHJtuYyoOrHiTflM+L3V9keJPhPNAryj7uHt2ZFVJ3SFrPJPEnAMaL5f0f\nYgddss0+bnqeH96S0eXplSoqF0qZXJ6KZKl0UnqH96bMWkZKYc3tBq4X5m9MBsCfAvpQ3hg2IMae\nsnXc7ItUUL2D/MVwMkeRV28qnCJayID2d6P1bkSId/X6mdSiVNanr6dDUAea+zWvk+Ofj0JjZabM\nPrkJv9u68YblTqKM3/K5bRhnZC+e0P7CzTlfKZN8lPplx3oqb1c14qJyadTKcXn99dfp0aMHAwcO\n5IYbbqBnz568/vrrFBcXEx8ff/43ULnmmToozv46By+8hVJ6afYrG5rfXOv3Gd87mscHxDhtW2kr\nd3yynRVueof1xs/Fjy/2fYFNsnE2KnttQJGx5hTF2z/eZH+dlnd9rzBez7z2x2EAnm+ZTYz5EEKH\ne8FQXQ421NsVgMHtYNzKcZRZy3iz35vc0ewOAB5xWBn1dzcwwzyGQrcIJut+YrhmC6PE9RR5xkCz\n4Q1wVioq56ZqxAUgzEMReEgvrpuH8qsRk9XGuqNK9MB+P4tT+o5UKGxl4odoLXHKCLhYKprdjhFX\nKRtia5Y3tkk2nv3nWayS1X7NaQiq1tdMtExirm0EIGBFyzJbz8rBuJvA1YeqqBEXlUulVo7LyJEj\nOXToEE899RSTJ0/m4MGDjBw5Eg8PD5599tn6tlHlKqB/syD762zZG4C2uvIbns/FyVX3bOqvvB9e\nmDUukJvkNO5t8Ob22NvJMeaw7XRlqL7iRlPBjbMrZZMPZTjrzldwqsBofz28baOLslflwknNLeWH\nbSmcLjBitNhIdnAyLyfDvcq/a53ur3H8uWEtGNShlAPy6+QYc5jZc2a1Rmrbn7+RtU/3x0UnkosX\nD+SNo1h2YY7+AzwEI6XNbgOtvsb3V1FpSOw1Lqrj4kRF6paIjdn+v4Cor1ZwfrpC2KAo45KOVWyy\nciijEBEb97ltRg5uBTEDa5w7Z/cc9pzZw/AmwxnepOEWP3TiuXtDLbH1JUP24xXLPXDXDzXOUeWQ\nVS6VWvdxMRqNFBUVUVRUhMlkqk+bVK5CHHNYK5pTNSMFNFqli/dF8OFdHcpfCeQawiHrIEjOzSqH\nNxmOVtDy4a4PAdh8Iof7v6x0YkxW50jMO6uOnPe4bokr4aeHoPDSbkQqZ2f2qiNMW7KHwe+uZ/rP\n++j++t80f/FP+r+dQPplqjGqaIR6c9tGhObtUB5SglrWOHdN+u/sssyixFrMG33e4LbY26rNCfQ0\nEB3gjotOucz+KzfjLvMLbJFa8KutJ259JtTfyaioXAASGkyyzl6cDxDuoRTopxWlnW23a54Kx6Wb\nxxm0RenQ5SHwUVIyK6IPZ+TyqEJx1iUdq6BMOVYfzV405mKEuKFQg6JgYkEiCw8tJNQ9lP92/+8l\nHfNC0WqcHxnDfFyd/j4oR9HD9BHzbMOrNcl8Zkgz+sQG2K+HKioXS62+Qb/++isdOnTgxx9/5Mcf\nf6Rjx44sW7asvm1TuYpwLGrOQYm4BMtZ4B4Emou7UPl7GFg2sTcAhz26QXEmnFjjNKepT1NubHwj\n+7L3kVGcxV2fb3Eaf3d1ZW3WE+LPzMu8A/5d4DQn8UylIpMbRt6yvgH7FsP6ty7KbpXz88Ga4yze\nkUaZg4qODiudhCMcT1FWeE+cKebJ73fZb+j1TalZsSVALIOTG6DZUNC5Vpv3yZ5P+O+m/+Lr4svX\nQ78+74qnq67y4WOf3IT5sR8xUz8FT29V/Uvl8vLbxF4MaaU0fy7F4BRxCXILws/Fj42nNiLL8tne\n4qrnl13pfLTmWI1jFdLoTzUpjzo5KIfp7BGX8t9xnnNGwIVQarZyuFxM5hX/laB1hY5japz72d7P\nKLOW8Xz353HTNawQh07r7IzEd4mga5Rftd4sL4+sLsjz+IAYvhnfzaneRUXlYqjVE+XMmTPZsmUL\nS5cuZenSpWzatIkZM2bUt20qVxGtw7ztr09IoZUDfk0u6X1jgxVlsX+8RyhdeP+aAVXqWfpFKJKL\nb2z5wL5Ng8RoMYFl67YQLWSwQv9/TNUtwVMqhGVPwvYv7HMdJXCnan+0v5Z3fQv513dhan3w18HM\nGrc/p/2WnwwziVz/NADTluzltz2nuOuzLTXOd6TYZKXMfPY6p9pQala+B+Fy+UNKo/bV5qxIWsHH\nuz+miXcTvrrpK9oGtq02pyraKnnhc+/txM4XL70oX0XlUmkb7kO/OCXNtwy9U3G+qBHpF96Pk4Un\nyTPlXS4T65XhH/zDU4t28/aqo+SWmKuNLy2X52+TtQzc/J0aKVekTe2UYpUNKee/Tp2NZ37cy/gF\nO9BjIaT4EET3Ad/G1eZtzdjK8sTldA7ufFnaADjKGgNoRYHFj/bgk3uc+7TFBVevC1RRqStq5bjY\nbDZ740iAmJgYpCopOyrXNy46kRHtFIdlq9yCpbZeHJXC4D/vXdL72vOIhSDoPgEy90PiWqc5Q6OG\n0iagDQnpfyDoFHWz/9N+z1u6z9joMom1hqm00KSywtaFYabXMBv8YOXzYFVuVIVlygOrr5uOm90P\nkid78JT5MQSbEY6uvCT7Varz7NJ99tcGzEwQf2O7YQIPaJXPOiJnAxSk2VcgD2YU8v22FM4UVU9R\nnfdPIr/uTqf1jJW0+O+fpOaWVptzLr7ZnMyKfUpKYIlJcXxCreWOi7+z9GhqUSpvbn8TL70Xnw76\n1F4DcD6yioxOf6srjipXEhXPomWyc8QFKvu5nC453dBm1TvZxSYOnKosqK9IFa1AlmUKyiwMjPPB\ntTARIrqDwcM+btBq0LikUByxlMkhoRzPOXRRdlhsEsvLr0HdNIfQypYalThlWWbhoYUAvNjjxYs6\n1qWiqXLtqrg/i1UcmgrhAhWV+qBW366goCDmzZuHJElIksQXX3xBYGDg+XdUua5wfLCcbHmcwea3\nICD2kt5ToxHQazVKY67IHsrGIucVe1Ej8mCbB5Gw4Bb5BYIum+HiVgAOSo05I3sjD36FCZbJHJSj\n2Oh3K1jLIE2phckrVRyYV0Y0w9+czg4pjr+FWA7q9VgT16FSd5SYrE7fkye1P/N/uh8IFApIkQJ5\nxXKPcuPe+qlTGtmzP++jy6urMVudHy5eWX6IST9Udq3u86azU3s+Xvz1ABO+VXo0VERcgszl3cL9\nKh0Xq2Tl+Q3Pk12WzaSOkwhxD6n1Mcb1ira/nnV7mwuyT0Wlvql4GDWiB6uzk93IXREqySi59ur9\njjk0bQXn5o8A32w5idkq0dY1GyQrBFVKDkuyxNoz83CP/hitxxH+ctUyWsxm5uaZmGwXVgOceKZS\nkGSsuBIJDbQYUW1eQmoCCakJdGvUjSbel5bJcLFUdVwqIjBV12Kqqo+pqNQltfp2zZ07l3nz5uHq\n6oqrqyvz5s1j7ty59W2bylWGtZ6icGarxN+HsyiQyrXsTdVlJ2+IvAFjxi1o9Ll4Rs3hlGsR31lv\nYJj5db7v+zdCzyfsc2cllztTu78DKh2XUFsG+YLEO6FlEPcu8WEh3FC6i5fWP0eJ5cpQu7ra2Vre\n70dAYrr2Ox7X/kahPoTFQ7ZzaNQa5ktDydUGwd7F+Dm0LnhC/JldhkdI/Od7+zZnaWuZ+8RVfKF7\nC7Jqt/LpWNsEFREXmWZnViqCEg5O95vb32RX1i5ujLzxguVHW4d507OpP7FBHsR3uTiFPRWVeqP8\nodOEDqzOD90VDvq1GHHZmaKkvzUV0pml/QxbvrN62u6UfABGeCcqGwJb2McWHFjA9rxfsZVGUpL0\nOJNSvWhlMrPk6BLu/eNeZmyawewdszmQfQBJPvd90TFFrY0miTzvFk5OEiif/ytbXkGn0fFqr1cv\n+pwvlaqRlYo02KppugY14qJSj9SqE1DTpk3ZsmULxcXKjd7Dw4NTp87ezE/l+qRq/WZdh4sX7y/g\nIQBTzZLGbqY+BJv8ydZ9yeSgAHykUCiU6RqtFE/GBHlwPKuYw3IkB6XGNDu6GhEoKFeOsSZ9wz2h\nIZzSlWAtaUKUScDF4xA/Ji1j05mdfHXTVxe00q7izLHMIsZ9tQOAEZpNPKr9nd1SUwoHzOGOHkof\nIP2PB1ntMYL4/Hn0Nm/gF3oTLpxhqm4JAJpN00hs3Q6TRiS7UEDQ5gMaJvAnE3W/4iLLiiLcA8vB\nxbtGO3am5DHph114uzrLcr7711H8KMKzLA063AtaRSL2z+Q/+f7w98T5xvFK71cu6ty/e6j7+Sep\nqFwGKlbRTbIerM61LKEeSvrvifwTDW5XfVJssrLmcBYaJD7Wf0gzIYXSFeNg4gb7nIqIb1Tab2Dw\nhmaK3PnurN3M/nc2fvpQTh55ACRXfFxCWJCxn5dvmMBPScs5nKv0g5p/YD4eOg/aBbajd1hv2vr2\nxc8lgHDfyqL6ilTSYHIJEvKRm/ynmr1z98wlqyyL//b4L8HuwfX2uZwPTdWUsHLHpbBKfzQ14qJS\nn1zQt8vDwwMPDyXHs3t39Uascm4e7B19/km1IMBD6XWRYylfgjcW1DjPbJVopO3JY1karIKGlLD1\nGEJ+JipAUYaqcGAADskRiKVZYCzEZJXQ6DN5tugfTum0DAgcT1nKQyRljuHrtHwezTOTXpzOvX/c\ny9G8ozUeW+X8VOaTy4x3ScAsi4w1T0NySMky6DTML+2DjMAgcQcaJJ7WLsIGTPeKZUCYLyP/uIs7\nfr+Dx9aPxiP2DTxiX+Ob2J10i4qgV0Q0b1lSOb3quRptMFps3PbxJlJzy9ifXhm5yyk2sTs1n1aa\nZGVDsJLSlViQyEubX8JN68acgXNw17nXwyejonL50DhGXCzOqWKh7qHE+MSw6uSqa0ZZzGS1MfCd\nBP49mUcvzX6aCYoAi1v2PiisXJA1Wmy4aWWErIMQ3gkMnuQb85m0dhIaQcPt4S+ApNxbckV/RGBG\n7D0su2UZCXcksOCmBYxtNZY43zi2nd7GrO2zuHvlzQz8+nHKHEQQVh1QUp/HaVcAIER0c7I3MT+R\nn479REv/loyKHVWfH815qeK3oC0XKOgXF+gkc6zWuKjUJxf97bpWLmIq9cddXesmLWbD/ylKLsWU\nS9PWkCqWV2JWVshkmfG2MywjAmtxLHrf7Ty/+QkO5RzipRGVEo2J5cpncvYxzphO4h4xn2xB4iV9\nY94a/AQgYMTAJ9YRPJ5/mheibyOrNIv43+P5ePfH6vf/Isgob/IZK6TTVjpIXpMR3DugA31iK+vl\n8kstHC7UsVtqykDNLv72e5Mh2s2MDolmub+JEKuNcRYDo5uMx5TdD3NOb6LzIvhPUQkdLUEU2nz4\n2tuLobnr+HL7bGxVFOge+eZf+2sdVt7WzWWv4UH+nf80ZquNp8KUlVLCOpJamMqDKx+k2FzMK71f\nUaNtKtckFfUJZ2RvsJRASY7DmEDHoI4UmArIMeac5R2uLpKzS8ksVFLixomKs/C+tbwP07pZ9nll\nFhtx2iyl7ie4NVbJysQ1E8k15vJ8t+fx01Xe345ZlSiIkL6DKO8o/F396Rjckamdp7Jg6AIS4hMo\nS78TW2kUep8dPLl2MhbJgiTJ9sL8rpojSpS4/d3297VJNmZungnAtC7TLruwh1jl+J7lzSR93PTs\n/u9g+3Y14qJSn1z0t+ty/4BUrjyqarlXDStfLBUXwQK53HExVndcOry8GgBz9gkEczFBQS0pSxuD\nOb8z209v587ld/LchumEBSu52sflMGTgyR/+jxV500CXzws5udza4m4MWtG+srReUuRu4yVXvh76\nNeEe4Xyy5xMmrZ2kOi8XSGah4rh01ihNQIO73s7TQ5pVy5sGeNlyLy6ChYjSvTwQEskxVxuWgvaM\nOtmCyWnH8E+NwHxmKKasm1losPFafilDmn1ASeLTtM7qT7DVxrsH53PX8rtYnrgcSZb462Am646e\nAaCfZg8r9dMYJa7HSyhlcM7XbDBMotOZX7A1asvikiTil8dzpuwML/V6iUGNVflilWuTilSxw7LS\nWJGsA07jkV7KA/q1Em0+maPUK0YImQwQ95DWaAgfWW+hyLsZ7PkBLEZskszBU4WMdNkFgBzWmRc3\nvsieM3uIbxbP6LjRSA7X/5XmtsiiHg4t45OEEzz89Q6sDiplrqIH1sL2lKU8iKWgHVsyNvLZ3s/I\ndFAc7OCRD4HNnZpOzj8wn51ZOxnZdCQdgzrW90dzXiL9K1PcPr2vEwOaVS46Oda16FXHRaUeOWeN\ny969e886ZrE0TFM4lauH125rw/Sf9tkfDquuzlwsokZA1AiYbALoPaH07Ct/74atheNAs6Gs7twN\ng3YwJZzkvZ3vsSJ5BfitwM0lknV5XXnHEElCQCY6yYvx6S6MsqZAy5EArJrcjxtnr+OYHI5J1mE4\nsYb2/aezcNhCJidMZm3qWubsnsPEDhPr5ByvdWRZ5qtNyeiw8lrgaijUQpWUCGeqruIAACAASURB\nVEd2ynG8armT1OYHOCAV4G7qyelTN7NcOMY48W86n14E3E+MkIZX5hZoegM9W0TB8mS25Qxit+lH\nZoeE8XtBEtP/mc7r214nJ6sJGpeeNDYJfKL/ADfK+FDow1eu0QwwJBAj5yPjx+/eIilbX8HPxY/3\nBrzHwMiBDfY5qahcLpJkRUGsau+qLiGKNO+WU1voGdqzoc26ZKw2CaskI2oEtiXl8nB51HWYRlGV\nzIwciiVJy+mQ/nge+RRyE0nXRlFotNLX4wDoPViml/g98XfaBbZjSqcpCIKAJFU6LoWyG1JwGzSn\n9zLrgBK1/edYNgOaKz1y3v+rosGliPHUaOIiSvls72cEi10BmHlTFCRkO/WJ2Z+9nw92fkCoeyjT\nul7+aAtAz6YBLBjXlU6NffEwOD8+Otqnpoqp1CfndFxGjhx51jFX1+odpVWubxp5u7JgXFeipi8H\nQFOH1y6dKCg6+0Et4PReRQnA4ULp5aLFTScScupvCGkDTQcSax9vwaeDPuVY3jHm7ZvH8hOrEcOW\nsADwkCSmntTQXMpG8mqERq/UMFTU1ZjQs0Lqwi2pm6AwA5voz3v93+P+P+/ny/1fMiBiAK0CqncJ\nVnHm680nAWgmpCDkp0CPieARdI49ZL4JLkYnFdAztCePNn+ZW+ds5185jky/znTOXU2Ux7381WQN\nHAW6PEhUgPJ/Z0NkibEvM9JW8sBt3/CT5QRbMrZQYNqF1nsXOcBwqx9FsgdGbQqCcJKVwEp8APCQ\nTDzU5iEebPNgg3emVlFpaCoiLqWU1xCanXu5NPdrjp+LHxtObWAKUxravEuizGzjxtnrSM8vc9re\nWTjMdN0iZIMXeSG9gaMUuis1mWmHNjNwdTIAIdZ0sv2ieH37m/gafHm739v2a4JjgT2Azb854ql/\n8aOQXLw4fLrI7rh8tPa4w0yRB2KfYMa/k/jkwMvAw7SSyx2b8t5RZpuZSWsnIQgC7/R/By+9V51+\nLpdCv7jzt8KoaM6polIfnPPRMikp6az/EhMTG8pGlauUuoq4gJIuZrHJENpeKc4vUHptlJisPLd0\nH4VGK0M8TyjRmMa9qgvLA7G+sczqO4vi49MxZg7DUtCO+zJ8GcVeWmuSkR0kKB27nW+UWgNwcvca\nOr68mm83n+G5bs8hyRLPbXgOs616x2UVZ5LL0zNuCVaicTTudda5grYA14gv0XnvpXdYbz644QMi\nfCsUwgSSAgYgIvEsX8CJtUpjuObDARjbMwqAJbZ+AOz88RPGtXicfh6vUpI4CXNuDwaaJAKsGkpt\nXthK4ihLvY/iY9MpSXqMeyNnsfaOtTzZ8UnVaVG5LvBzVxZpSmVFRY8q0u8aQUP3Rt05lneMQnP1\nNN0rmRNnip2cFhdMPCb+yrf610GjQbhvKRpXxSnYpu2IrNFStHMpFpuMATNGcxaPulkothQztfNU\npzq3G1sGM29MZ25pr9RLHtcr94+R4kYAysr7QjkSQg7HDGMYuTSeUWGDyTIlYQhZSvSZNcqEVrcC\n8OrWV8kqzWJCuwm0Dmhd9x9MPaNVU8VU6hH126VS57QNVx4yXXTieWbWHr2owWyTwLP8xlGSDcDH\nCcf5bquS2tDdojSdpOOYc7+ZzR1Lbl+Mp+5ia/Ew+2bRIXXJMV93u9QMAOMhpbP7FxsS6RLShfta\n3kdiQSJvbn/zks7teuBUfhmiRmBco2RlQ6N2Nc77+P4muEbOQ+txDKmoHW/3exuDaCDAw8B78e0B\nOOI3AIAh1gSwmaDTWPv+/ysXYDggN2a31JRbxE0U7VvOntR8JFMjWmS14t1TaXwZOoLSpMncEf4/\nrMWtkK0+SMZIYr3b4qJ1qWqWiso1S8+m/gCUUu64VIm4AMT4xACQXJDcUGZdNDZJttcfHs+q7NXU\nXEjhL8MzTNMtwiBYEO74GsI722soZ63P5rC1EQGlSnQkzG0Xd4aFcEQuY0zLMYxoWr0p5I0tg/Eo\nr+28fWMYAJ00SvSktEpvExEbX+vfQCfY0NhM3Lx3D7ayCPS+21hQugu0rhAQxzcHv+HnYz/TNqAt\nY1qe516monIdojouKnXOood78M+0AbgbatUmqFbotRolVcxNuclmnj5F1PTlzFlb2V8gWk4D0aAU\nOJ6Dt0a1tb9eJ7XjUfNTbImdAn0q0yB0ooZtzw9keNtGJMsh5Pm2JSpjBTqsZBebyS0x82SHJ2np\n35LFRxazMX1jnZ3rtUap2crKA5n4aMrQHPoNovuCd1i1edll2cw98n+IhjOYsgZRknaXk/xw6zDF\nIZ6RkM9o039Z5BoPj6yH9nc5vc/wto0AgYmWJwGwbJ3HynLJ0cGi0kfGs/0t7HjhRl64uSU7X6ws\nvHetQ2dbReVqQBAEbusQRpk94lLdcYnyjgKu/H4uqbmlNH3uD26cvQ6Apxbtto/N1H1FuJDNT7Y+\nDDe9ao/Sah1ymhPlRvhbT+PqtY28iF8p0Gh4oWk8T3d++qw1JhX7l+HCadmXcCELgFKLDYtN4q7P\ntgDQSkgmTpNOgq0dmYE9aVu0G0vqPdiMIcwX8nm0UQiztr/JOzveIcorivcGvHfVRX0roncqKvWJ\n6rio1DmuepEIv7q94GYUGNmVkk+JqNQhbDt03GncnTKiy/ZDcCsnVZaaGN05wunvP6WupDUfb284\nWEGQpwv3dW8MCJz06YYBM3GCkqL2445UdKKOV3op3Yzf3vE2Jptz12kVhYr6lsa2FEB2KkB1ZObm\nmSQVJHFXzATMOdUL4sN8KuvqtsvNWR3ycI2Rm3G9ogBIkwNZZetEdO4GwoUsQsjhUfd14BkKYZ0J\n8DCgEzX4uevp3kTp8RPsrUZbVK4/XPSiQ8SlpNp4+8D2aDValictb2DLLoxJPygqYCfOlDh1pBex\n0UZIYoOtFVMtE+jdt/L6YilX/9K4pLEgwMqDIYFow37GU5L4LKeY+F7Pn7MwXuMwliYHEi5k40MR\nmtIcNhzPZnOiIiZzR2Plc/3edgM/ZISglc20kHIwp95PV6OJjVobCw8txE3nxiu9XyHQ7fy1JFca\n66cNcFoIUlGpD1THReWqYlOGcpNppHO+uU7Q/obBVgItq4fza8KxWRaAu75mZ6eiSP+Do8qD7d2i\nkotckV4Q6xtLfPN4jucf5/O9n9fyLK4v3lihqOx8OLB8NS6oZbU5vxz/hYTUBPpH9GdK10cAGNUp\n3GmOa5X/o9s6Vo/aAHSM9LW//snWF4B3dR/zm9/7aEwFMPjlasoRC8Z1ZfmTvZ32VVG5XnDViZXF\n+TVEXALdAmkX2I6DOQevaBn4o5mVqWFfbUyyv44V0nETTBykKR/f05Fnh7awj7Vo5IXocRi3qDkc\n8slmt4uBASWl/JKeRvuW8TXWSzpSZqmsZUmVAwkQCtlqmMizJ+5Fzk22j4Va0wA4ITeypx/fKP7L\nze7ZzMvIZFnQEH675Tf+Hv037QJrTqW90vEwaNWoi0q9ozouKlcVkqviQHjYHItEZW7U7MTkEgg9\nJ9Xqfdz0zmlsbmdJa6uo0/nH1oqDUmPuFNcQJWQ4qaZM7jSZSM9Ivtj/BfvO7LuAs7n2qexlIBN2\nSum1Q0gbpzkFpgI+2f0JnnpPZvSYgYtO5PDLN/Hm7W2pSlywh/31gGY1q5I5ro7+I7UhQ/aji+Yo\nQaXHwTsSmg2tto9BK9Iq1LvadhWV6wFXnYgJHTJCjREXgMZejSkyF5Fvym9g62pPf4e+IvlllS0b\nlvdUetA8PHYcw9o0ctrneNFOPCIWgqSjJOkxZpwI44OsbPzcg2HAs+c95vfbUu2vd5Q7JAbBgrtU\nRNiJH+xjUaV7sYqunJRD2CS1IlvjzzDNNl6KPoAARHV7jGjvaFy1qmKrisq5UB0XlauC//1HWaU/\nY1MeXLXGPAA0SCzUvUZzTSplUQNrrcFctVmmj6uuxnkVjosFLW9bRyMKMgmGqQz951YoU27gOo2O\nd/q/g1WysvDQwgs/uWuYgvKHh/9rUwKJa6HtneAV6jRnzu45nCo5xYNtHiTANQBQPveaGpj+/kQf\nHunbhIkDYqpFYBz58K4OeBi0lOLCneYXeNVyN9n3r4dJu0Hvftb9VFSuR5TfkoCkc6sx4gIQ6ak0\nojxZeLIBLbswAjwq030rUsVmDItFPLgUglpBk/5O85MKknj878cRBIGytLFIxkhetdzHhmbPwYRN\n4HphEdjvbDcw3zqEpcJAzOhwyd4PgBtGokr2URDaGwtaJDTsFloSozmF5+EfIbAF+DW5pHNXUble\nUB0XlauC3rHKA22mxRU0WlzKTgHQR7OP3uIBrLKGvN7/rfX7fXF/ZwY2D2LpYz15blhzuxJaVRyV\n0dZIHXjZcg+5sgcBpYnw7SilnwxKr4M2AW1YlbyKY3nHanyv65G96QUADMhbomzo9rDT+N8pf/P9\n4e+J8opibKux530/vVbDs8Na8PSQZuec9592oSx7ojcAJ+UQPrfdjG/jtuetf1JRuR6pEKWQRJca\nVcUAor2VPif7sq/cqPJXm5LtrwuNVjRI9Et6F8ryoPWtTmlfsizzwc4PsEgWbvCdiq1UcRyy8GWj\n70hw87vg48tomGm9n8ll4zkkRdA4fysbDU8wUtyIRpBxjexon7vGpkSUBWRoO/oiz1hF5fpDdVxU\nrgp83JS82dwyCaN/K1yzdgMysYKSN3y3+Xm0brVfHYsJ8uSLsV3oEOnLw32bnrX40rn2ReAL23Ae\nCl7MWrpA2nbI3G8fndhhIlbZysrklRd8ftcasizz3dYUHpi/nXDhDM2yV0PMIAjrZJ+TU5bDrG2z\ncBFd+PCGD9EIdXs5MlTp3izWEMFRUVGprB+zim7V+rhU0CO0B546T1Ylr2pI087LoYxCnvh+F5mF\nRkCJwk8Sf+KLlJvYZXiYJknfgX8sdH/cab+dWTv5K+Uv+oT14cbGA5zGbmlfc/1cTVS9zlTwgmUc\naXIAYUIOr+u+AMAttCULxyuy+98Ze/Ku5XYsMUOhxxO1Pp6KyvWO6rioXBVUpHLll1rYZYvCXygi\nkHyaCBkAJMqh9oL5uqQmh8agE/nKXK6MtXmOfXvXkK546b3YkL6hzu242lh39AzPLVVWZodrtiir\nih3udZrz0e6PyCjJ4PH2j9vlVuuSsz1QqKioOFMRcbGKrmeNuLhqXYn1jSWxIPGKKdA/fLqQoe//\nw7I9p3h75REAJgXvZbLuJ3TY8BZKKQnqBONXgb5S6bLAVMD0f6YDMKXTFIa1DbUrCwI0Dax9OumC\ncV2rbXvt1jbsk5vQ2/QBG22tKgfCuxAT5FEe+BF433Y7ljsWglYtaFdRqS3qnV3lqkAravB00ZJX\nasY1oDEAjYRcunhmUyi7ko2XU8F8XeKYNw2w6UQO66R2FOoCIetgpY0aLT1De3Ig5wDZZdn1YsvV\nQlpeZbfqO8U1SO7BEDfEvi0hNYElR5fQ0r8l97e6v15sMKg9WVRUaoW9lk90BXPxWedFe0dTaC4k\nz5TXUKadkw3HKq+zP/6bhgEz97MMgAnmSTQ3zsd8/59OaV9WycrUdVM5XXKaie0nEuOrNNfckVx5\nThfS+b17E38+u68TjgHdWAcRkdesd2ORRaw9ngTvMEK8XXD0+/Rql3kVlQtC/cWoXDX4uunJK7VQ\noAsGoJUmmRjTQXZLMYCArp5W2FdN7uv096zbFVWsUq8mkHMCx7tQn/A+AGw6talebLmSeW7pPlq8\n+CefJJzgu60pADQWThOtyUQTeyPoFLWcPGMeMzbNwCAaeH/A++fskXApuOtFu6Tykkd71MsxVFSu\nBSpSxYpdQqA4EyxlNc6L8ooCrpxGlI69nQDuE1fjU3CID623sELqhhFDNRGPbw99y9aMrfQP78/4\nNuPt22eObMXFMrhVCK/cUqmW6OiMZHs25+jY/WgHv1TjvhfiJKmoqKiOi8pVhK+bjvxSM3k6RfJy\nkOZfBMmKT4cRjO0ZhedZJI0vlaq69LHBngDkGcKV1cmSM/axriFK2sDeM3vrxZYrlRKTle+2plBm\nsTHrz8MczCgkkHzmuXygTIgdDCi1L29uf5NcYy5Pd36aEPeQerNJEATeHt2O5DeG0znqwgttVVSu\nFypSxXJdFOUwchNrnNclpAvAFVPHZ7Ta7K+bCKeYpv0Bi1sIH1lvsW93ciLKsvlg5weEuIfwcq+X\n0Woq7xnxVRoTXygh3pWRece05V4xAbSKDj1vPxgVFZXaoTouKlcNPm568krNZOijkWSBG8TdALRt\n1Yb/jWhVbyv3jrxxWxu8XJR6m79yy/uIHPnDPh7sFoyfix/r09ZjtplreotriuNZxYyeu4mdKc6p\nI700+1jpMZNYORl6PgEtRwKw9fRWfk/8nbYBbbkt9rbLYLGKikpVKoQrClzKm77mp9Q4r1VAKwJd\nAzmQfaChTDsnRcaK5o8y07SL0As2cofMwUTlYpOjrPrMTTMxS2ae6fwMPi4+Tu+lFTUsebQHa6b2\nuyhbKgRkAPTaymOqtXYqKnWL+otSuWrwddNhtEhkWt1ZK7WvHPCPrfdjDy9vWjakVQhersoq3af5\n5QpZievs8wRBYFTcKDJKMthzZk+923W5uXH2OrYn53HfF9vwo5BXtV9wyDCWb/Wv4yEVwMg5MPgV\nEARMNhP/2/Q/BARe6/MaelEtSFVRuRKocFxMmvIC9rM0oQSI9IrkZOFJJFk665yGYtPxHADaCye4\nSdzOJltLDDF9apybXJBMQloCvcJ6MajxoBrndI7yo0mgR41j56NlIy+iA9yZdXsb9GJlelp9iMao\nqFzPqL8olauGihWt3/eeYpcUUzngG1Xvx37vzvbs/u8gfN319ohLMW7IvlGQdchpbrcQRe7yYM7B\nqm9zzVBVVcgVI5/o3+Me7d+4CmZW2LrwR99fnZTEfjj8A+nF6TzU9iEaezVuaJNVVFTOQkVQwqJx\nKX9Rs7IYQNuAthRZii779c1osfHngdMADBG3A/COdTSerjUviLy14y0AxrYaWy/ReRedyNqn+xPf\nJRKdQ8SlpuL7f6YNoEOkD6ur1E+qqKicH9VxUblq8C13XLKLzSy19cbSZBAMnAFi/dS2OKITNXbH\nybEpZbZLFHLOcZAqVx9b+LcAYEfmjnq3q6ExWmxETV/OS78f5PU/Kh22B8Q/6aY5jKXDWKKM3zLB\nMhnf0Kb28SO5R3j333eJ9IzkgVYPXA7TVVRUzoJGqIi4VDguNRfnAwyOUurVlicur3e7zkVuiZKK\n21TM5GHdH6TJAeyWYxA1AgEeyrU6rlzdq8xaxpZTW+gW0o3ujbrXu22Ozoq+hlSxCD83lj7Wy14v\nqaKiUntUx0XlqsHXXWd/nU4g4r0/Qp8pl8WW9hFKfvTKVBFBskBhmn3MU+9Jr7BerEtdd83JIifn\nKCkk8zcm8+l6pYDXnTLu1f5FAe5oh78FKA9BYT7KQ5DJZmLa+mnYZBuv9XkND/3FpWKoqKjUDxWp\nYmahvMD8HBGXVv6t8NB5cDTvaEOYdlYKjRYAZkXtRJRtvGh5ABvKotLYnlEA3FFecP/T0Z8wS2a7\n6mN946hwqaaKqajULeovSuWqwdu10nG5q2uEU9FlQ9MkQGlQ9o9ULoF56Hen8RsibkBGZn/2/oY2\nrd54Y8Vhbnrvn2rbx4krCBVyWWAdhODQSC3K3x1ZlpmSMIXEgkQmtJtAu8B2DWmyiopKLbDXuAjl\nEZezNKEEpY4v0iuS4/nHL1sjypEfbeDpH/dgwEyHUz9g8oqqvBYDD/VtwoJxXRnfOxqbZOOzvZ/R\nyL0Rt8fe3iD2nS/ioqKicvGovyiVqwbHFK3LvYpl0CnH3y41VzacOew03spf6QlwrTgusiwzd131\n3g2zY/czVbeEdNkfay8l+pX8xnCS3xiOqBF4actLrE9bz8DIgTzc9uGGNltFRaUW2FPFahFxAUX2\nPdeYe1nSYV9dfpA9aQXsTy8kSjiNKFvIjf4PVipThg1akX5xgQiCwJrUNeSZ8hgaPbTBor2OSmLu\nerURropKXaI6LipXDY6Oy+XuNjx9qFLHkosnJbIB8k86jcf6xuJj8GHJ0SVYbJbLYWKdklFgtL82\nYOYx8RdmauczMm0WeITgNWElU4ZWRlNsko1Xt77KkqNL6BLShVd7v+rUM0FFReXKoTLiUuG4nL3G\nBeDWmFuBy9PPZWdKvv11U+EUAN4RLQF4dmjzavO/O/QdBtHA3c3vbhgDwan4f2CL4AY7rorK9YD6\nJKFy1eC4iqW7zOH3yrQ1gVQ5iOZ5zo6LXtQT3yyeT/d+ysHcg1d9itTRzCL762e0i3hQu0L5Qwbi\nF+IZUilJfTj3MDM2zeBgzkG6hnRldv/ZuOvcG9hiFRWV2iKWP2gbhfOrigFEe0fjqnUluTC5ni2r\njsmh6WQXzREA3Bo1J/mNjtXmJhYksjNrJ/3C+xHs3rAOxOdjOpNRUEaEn1uDHldF5VpHjbioXDU4\nRlxctFdO+D1VDoSCVLAYnbZ3DekKwLrUdTXtdkVgtNjYdPz8AgLHs4oBCCSPceKfFMpufGcdwJ4e\n70NEF/u8X4//yt3L7+Zo7lHGthrLnIFz8DZ415v9Kioql46m/EnATPmCzHkcF0EQaOzVmJTCmhtV\n1hdrD2exP70QUCTY7xbXQEAzCGlb4/wv932JJEvc0+KehjQTgEEtgxnTI6rBj6uicq1T747Lk08+\nSVRUFIIgsHv3bvv2rKwsbrrpJmJjY2ndujXr16+3j5WWlnLXXXcRExNDXFwcS5YssY9JksQTTzxB\n06ZNiYmJ4aOPPqrvU1C5QtA6FOP/sjv9MlrizGapFUhWOPSb0/Z2Qe0I8wjjm4PfUGY9d+rF5eKF\nX/Zz97ytbD6RQ1peKduScmucVxFxma77AY0g83+Wh3jO+hB5UcMAKDIXMf2f6byw8QW89F7Mv2k+\nUztPxUXr0mDnoqKicnFU1LhIaEDret5UMYDGXo3JKMmg9DxOTl0x759EHvhK6dcyXvyDQy7jMAgW\n6DyuRkl8k83E+rT1xPjE0K1RtwaxUUVFpf6pd8dl1KhRbNiwgcaNnRvOTZ8+ne7du3Ps2DHmz5/P\n3XffjcWi1AK8/fbbGAwGjh8/zsqVK3nsscfIyVE65C5cuJCDBw9y9OhRtm3bxltvvcWBAwfq+zRU\nrgAc1VnCfV0voyUKN5bnLq+Tylf7qjSirMirNtqMbD61uaHNqxW/7FIcwPT8MnrPWssdn25mZ0qe\n05yk7BLWHT1DnGsht4kbKAzowGqpEwCSLHM07yjxv8ezPHE5fcL6sHDYQtoHtW/wc1FRUbk4Kmpc\nNp3IQdYaKCwupvWMlU4polVpH6j8xtekrql3+2RZ5pXlFddXmce0vwLwtXUQdBpb4z5f7f+KPFMe\nw6KH1bt9KioqDUe9Oy59+/YlPDy82vbFixfz6KOPAtClSxdCQ0NZt05JqVm0aJF9LDo6mv79+7N0\n6VL72EMPPYQoivj5+REfH8/3339f36ehcgXgqCT2wvCWl9EShQ/v6kCwl4EsIUDZkJdUbc6AiAFo\nBA1zds9pYOtqh1VS5EyttsoGmrd9vImT5f1aik1WBrydQGahiQf1qxGQMXaZaFfwSSlMYcyKMWSU\nZPBUx6eYM3AO4Z7Vf+8qKipXLhURl0MZhRTbdJzOzqPYZGXBpuSz7jMwciDQMMqJBWWVAicxQjr+\nQhHzrEP5r/UB0FWP6iYVJPHVga8IcgtibOux9W6fiopKw3FZalxycnKwWCyEhITYt0VFRZGSouTL\npqSkOEVoajtWldmzZxMeHm7/V1xcXB+no9JAOKaK+bjpzjGzYXDVi3SN9qdIMiA3aq/0cslxlgyO\n8IpgRNMRHM07SmpR6mWytGbS8yvTQQ6fdl5Z7fdWAnPWHudAeoF9243WdeDXBJc2NysbBCuLT75N\niaWE9/q/x/g2453UdFRUVK4ORIdra5FNRIf5vPsEuQWh1WhJL6r/tN20vMpr1cPicgA2OPRtccQq\nWXl1y6sUW4qZ1mUaOs3lv1eoqKjUHdd0cf6UKVNIS0uz//PwUDt2X804poq5XSHa+OZyhZv1oeNB\nssCJ6mkTfcP7AkrqwpXEdod6lq82JTFaTGC7YQK/6l/gA92H9Fo7mp07NgIQKWTiZ8uGxj3xdFUk\nU/UBq0ktPcjouNH0i+h3Wc5BRUXl0hEdFhxKccVNUiKumnMsRIgakVD3UNKK0+rdvgrHRcTGTeJ2\nDtCEBKkdN7YIqjb3txO/sfX0VoZGD2VI1JB6t01FRaVhuSyOi7+/P1qtltOnT9u3JScnExkZCUBk\nZCQnT5684DGVaxvHiIub/spQ8t54XKm9enGTVdlQpZ8LQP/w/rTwa8GPR3+k0FzYkOadlTKzjacW\nKWIZHpTyi/6/vKX7jEChgHaaREaIm2mvSaT1vlm0FU7wncd7yo5NByIIAjPvy8YQsI4oryimdZl2\nGc9ERUXlUtE4PAmc0QThbzuDBonzBVDDPcNJL05HkqVzT7xEUnMVAYA7xbV4CaXs9+jJL4/35t14\n51o6i2Thh8M/YBANvND9hXq1SUVF5fJw2SIuo0ePZu7cuQBs376d9PR0+vXrV20sKSmJhIQEbrnl\nFvvY559/js1mIzc3l0WLFhEfH395TkKlQXHs3eKY2nA5eeN2JV0hQ/ZHkgUsOdUdF52o45aYW5CR\nSUhNaGALayanxGR/fZ/4F+01J9hsa8ntphm8aYnnSfPj/GnrQh9xP78ZXiTcchI6j4fWt7HsxDLe\n3vE2kZ6RfDnkS1U5TEXlKsfxenrI6IsWG43IOe9+bQLaUGYtY01K/Rbor9ifAcD93ruxyQLLDcNp\nH+GDp4tzGlhCagKHcg8xKm4UXnqverVJRUXl8lDvjssjjzxCeHg4aWlpDBkyhJiYGABmzZrFpk2b\niI2NZezYsSxcuBCdTrkIPfPMM5SVldG0aVOGDBnCRx99RECAUgB93333/fV/mwAAIABJREFU0bx5\nc2JjY+nSpQtTpkyhTZuac11Vri304pWX2dgt2h8AC1oy8MOaU71AH2Bw1GDcde58feDrhjTvrBQZ\nlQiRATMTtL+RIgUyxjKdPP+OfGwbyW9SL1623MsOKY7DUgSMWwk3zyazJJMZm2bgbfDmiyFfEOgW\neJnPREVF5VJxTAlLl5V7baiQw/mWh0bFjQJgQ/qG+jKNI6eL2JmSD0CINY2DcmNyZM8a5/6d8jcA\nY1qOqTd7VFRULi/1nm/z6aef1rg9ODiYVatW1Tjm7u7OokWLahwTRZE5c65MhSaV+kV7hURZHHHR\nVTpTSVIIIXnHwFQEBucba4BrAH3D+rIieQV5xjx8XXwb2lQnKhyXxkImXkIpC2yDsaBl6WO9aPeS\n8rtMJ5BR5v/x8T0daR7ZCFmWmbpuKhbJwsyeMwlxDznXIVRUVK4SHCMuBbgD4CWUnHe/YLdgXLWu\nZJRk1Jttv+1Riv9dMeJlziJF6MWLN1dXlTyad5Q/Ev+gtX9rQj1C680eFRWVy8uVt4StonIWrpT0\nMEfcHWptVkudEW1GOLmpxrk9QnsA8M3BbxrEtnNRWC4vGvX/7d15dFXV3f/x97lD5gEICUMghClM\ngQAyCCg4gRQUKVUsWooiz1N+2sGh2q5aqx20T+tY56p1qlZpqYpWRRlFrSCUqRAEAwlzSCDznHvv\n/v1xkpsJhISbkc9rLdY695x9z9k7e3HO/Z49WfY4swyfHYREh7nZft80Un9TM6h1SpLdqvJB+gds\ny97Gt/p+i0t6X9LCORaR5lK7xaXAhAEQSelpZwm0LIse4T04UnSk2fJ2osie4ez8iCwAZl50Ief3\ni2mQ7p20dzAYbh9ze7PlRURanwIXaTfa4lS7DofFHVOTADhgqma4Kco6ador+l9B9/DufJTxUUtl\n75Sqx7jcOS4IgN/dNIsv77bXZYgKcdeZ/CA82EWZp4w/bvwjUUFR3H7e7W2yLkSkaWq/EyqkKnCx\nSs7ou70je3Oo6FCzTTxS4bEH/j8/oWoWxH4NZzDcl7+P13e9Tp+oPpzX7bxmyYeItA0KXETO0sQB\ndp/wnOp+1yU1g1rLPV6eWpNGcbkHt8PNhB4TOFB4gEOFzT+F6DdZkZqFZUF8cSoAod2SiIs89SD7\nX33+K3LKcrgx+UZ1ERPpYKyTtriUnNF6WZckXILH5+HTQ582S94qqhbHdeSk2Tvi6wYmxhge/c+j\n+IyP+ybch8PSzxqRjkz/w6Vd+fSui/nPLy9r7WzUEVw121kODQOXx1Z+zYMf7eZ379sBwrTEaQC8\nvPPlFs1jfTuP5DO2h5uwtA+g72SIaDjI/l8/uoBP77qYfx/5Nx9mfMj47uNZMGxBK+RWRFpKdYtL\nlFVKTHjQadMPjbHHmxwoOPlC0Ger0uvDYYGjOBtCosEVXOf4zhM7WXtwLRfGX6jWFpFzQNtYDEPk\nDPXuEtbaWWigemHMXH+LS83CjkerVqfPLrS7Zl0QfwHxEfFsOLqhZTNZz9H8MqaGZIDxwsBpJ02T\nHB+NMYZblv0fQY4gfjr2p1qFWqSDKzShgN3iUukzp03fK6IXAAcLDzZLfj7aeczeKM6G8IYLTr7x\n1RsA/CDlB+rCKnIOUIuLyFmqnu2siFC8lgtKjvuPrdyVVZWm5r/aed3OI6Mgo9ke9KeTftyeLWjg\niaq1F3qPP2Xal3e+THp+OnMHzWVwl8EtkT0RaUU1LS7FeE8ftxARFEHn4M7Nfz8ryoKIuoHL8dLj\nvLv3XUbHjWZE1xHNe30RaRMUuIicpZq3fBal7k51uooVldvTDi/fmenfN7PvTKDmTWFLMcZwy+ub\nuf/9XTjwcY3zE4gb2qDPeLU9uXt4ZtszxEfEszhlcYvmVURahwcXJSaYSErxnUGLC0Df6L58nfc1\nJZVnNqC/PmMMaVlFvPx5OjuP5Pv35xTbM4rNGh4LpTkQXrdL6+eHPwdgzsA5am0ROUcocBE5S327\nhnPTBX0BKHTHQW4GmFM/8Cf0nEDn4M5sObalhXJoW74jk/f/e5SVu44xwDpMiFVpdxNzOE+a/vcb\nfk+pp5RfjP8F0cHRLZpXEWk9+YRzkXMb4SVnNm5lWuI0iiuLWX90fZOu9/TavVz2yCfc914qMx+v\nWcyyOogZ19Wevr12i4sxhuf/+zxBjiAmxU9q0nVFpP1R4CISAN+f0AeAzPAkuy92YWaDNKYqmLEs\nixGxI/gq5yuKKooapEvLKuS7z33BwZymvb08lV2Zhf7tyY7t9sYpWls+2PcBm45tYlb/WUzuNTmg\n+RCRtu0j7xgArlt/1Rmlrx6gv79gf5Ou98iKPSfd/942e32Y5LLN9o6eo/3HPj/yOfsL9jN30Fy6\nhnZt0nVFpP1R4CISAC6n/V/pWLDd8sKJNH+gUq200uvfviThEjzGw9tpb9dJ4/MZLntkHev35XDJ\nw2sbXKfS6zvj7hu1GWN4fNXXAFj4+IHrX5iwGOh74UnTv532Nm6HmzvG3NHoa4lI+/Z7z3U1Hwoa\nLi5pjOHHb2zhH5vscS0JkQlA0wMXb617WveommnZQ912a/AAr33vql7DxePzcO/n9+KyXMzqP6tJ\n1xSR9kmBi0gAuKsH6Dui7B2luWQXlddJU1Tm8W9fnng5FhbbsrfVSbN+X834mEqvqRP8rEg9xsC7\nP+R/Xt3U6Py9veWwf/sa5yfEWvlYo78PoZ0bpN1wdAPrj65nUs9JdAnp0uhriUj7Vk4Q91V+3/5w\n/OsGx59bt493tx3hzqV2y22XkC6Eu8MbFbjsOJzP6q+ONdjvctaMVfFUBTTBefvAHQ4R9hpSK/ev\nJKs0i0UjFjEkZsgZX1NE2j8FLiIBUN3i8t7XZfaO0lw2pufWSVNYXhO4hLvDSYhK4Kucr/z7jhWU\n4XTUHWBaUmG30uQUV/gDllVfZTU6f7f/3Q6Qhlv7uNf1KrlEwZiFJ037+q7XsbC4fcztjb6OiHQM\nX5t4e+PotgbHlmysO4OYZVmM6DqCrVlbOVbcMBg5mSue+IyFL2/CGMPE/jEAjE+I4Jclf4D7onnu\nD3dQ7vEBBlfWdug+HKpmZ3xq61NEuCO4euDVTS+giLRLClxEAqD6LWGuibB3lOYQEWIvkxTfKZQY\n8gn/4mH4zyv+7yR3TWZ/wX52HN/BrqMFjH9gFb/5V2qd8+aX2oNSc0sqzip/U5Ls2Xh+6X4NF17u\ncd0KnRIapPviyBesObiG83ucT9/ovmd1TRFpv7b7+gNgjm5tcGziADvQCHHX/IT4Vt9v4TEedpzY\n0ajrFFd4ySmuIDEmjJ+WPs50yx7gf1PJXzBZu7nYsRWrLB8SzgfgYMFBMgoymN53Ot3CuzWpbCLS\nfilwEQmA4KpFKPOoDlxyqfT4AOgR6eIJ9xN03/wIvPdjyNoFwPyh8wF4b+97bDmQB8DOIwV1zluY\na7euVE8LCjAgLqJReZv5+Kd8sicbBz6GW+ls8g2ix6hvNUhnjOFvX/0NgF+M/0WjriEiHUshYez2\n9cJkfN5glsSySvve1rdrzb2o+kVHY8e5nCgq53hRBYNDchhbuJIvfYNYWPFTnJbh+8cf5kJnVSA0\nyr5fvrDjBQAu7n1xk8olIu2bAheRAAh2OfnlzCHkVbW45J045h+M/62QHUx01mpJWfcgAEO7DCUu\nLI41B9dQVF53BrFYctkefBODXhkBjwwjL6+m21lhWWWj8lYdDPWzjhBmldN72AR+cllSg3QbMjew\n9uBaJsVPIjE6sVHXEJGOZ6tvAI6iTCi17z8rUo/x900H/fc2d63xKH2i7JkVzyRwqfT6/Nsniiso\nLvcwzbMWgL96prLaN5p13uEMNntJduy3x7d06YfX52X1gdUkdU7iwviTTywiIh2bAheRAInvFEoh\noXhx8uXOr/nRG1sAw6WF7wAwx/Enjrt7Yo7ZQYxlWcweMJujxUfZkveR/zzhlPJR8M+IskrtHQWH\n8H3+hP94USMDl2p3J9jXTRg9jYhgV51jxhiW7lkKwF1j72rS+UWkY8mkanKOgiM8tSaN/3l1E3ct\n3U5Z1di77YdqFovsFNyJzsGd+c+x/+DxeU52Or+yWjMsznn634RW5nJF/t8ot0L5zJcMwE6TSDCV\njLNSIW4wOBy8t+898srzuLj3xVpwUuQcpcBFJEC8xmBwcMxE0986AhgGWIdJzNvAW94L2FwSy46y\nWMhNB5/9xnHR8EWEukLZlv8+WHZ3sGmOTXSxitjq68+M8gc46IvlouNvEE0Rt7n+wVbrenwrf9Po\n/CWXbbZnERtwWYNjqw+u5qOMjxgZO5J+0f3O6u8gIh3DUVMVuBQe5cGPdvv3V08aUptlWVyddDX7\nC/az4eiGbzzvuj3H63ye61xLEB7MtN/YE4cAO3y1xtgNngnAm1+9SZgrjO8O/m5TiiMiHYACF5EA\nqe6Stco7mv6Oo/S3jhBv2dMbf+kbDECG6YblKYMCe3riIEcI42OuotB3FHfnL3Dg4/+53sVnuVhY\ncSepJpGXvZcTbMp4wP0CP3G9jdvyYn3+GBxLPXlGTsKJl85Fe6DnKHA46xwr9ZTyp81/wmk5+ePk\nPwbiTyEiHUCmqZouvd5aLtWThgB11pUa32M8cPruYpkFZbU+Ga53riLLdCJk7A3+vSt857HN1490\nRx+YdCvHS4+TeiKVSfGTtOCkyDlMgYtIgFxzXi8ANvns8SNDrAPEWXbf8CzTCYAMY69DQM4+AJ79\nZC/vfTIMnyec4NiPmR36NkmOw+zr+11yqt48LvVOpsy4men8knJnOLdXLAbjg5X3NciDMYZ3thwm\nv6TS/xlgkmMHLm8Z9BjZ4Dv/2P0P0vPTWTBsAT0iegToryEi7YnL0bDr1bGqFpeCFf9XZ39Bre6q\nFbXGq/SKtO+Bh4oOfeO1Ooe5/dvDrAx6O7J53zseXEE158XN1RX38atuT4DDyYs7XsRgmNZnWiNK\nJSIdjQIXkQDpGhkMwG5jTzOc5DhILPZsYQ0Dl70AfJx6DIybsiNzsRxecrt9SiUQN/km/3nzieAZ\n70xyTDjbR/+Gt3yTOR57PuxdBSf21snD2j3Z3LpkK4te3QjAH5bb3Tuuc39iJxj1vTrpM4szeXTz\no3QO7sz/jvjfAP0lRKS92fCLS1lx2+Q6+zKMPd1wVNkRQqlpJSkorWS+82P+4n4Qz+Et/v3dwrrh\ndrjZeXznN16rqNaaVve7XwTgY2tig3SVuIiKiATgy6Nf0jW0K5cnXt7IkolIR6LARSRA3FWLo+0z\nPfAYB4OsQ8RZduCSXRW4pNdrcSmvGqTqLR7E1AIPm0JDuGngbMITUsAqJ7jbe4T1/RN/GbCFKf1i\n+N8TTxMS/xqPOUZgfB7Yu7pOHvKq1nupnl752U/swOb8kAPQNQli+tdJ/+SWJ/H4PPxqwq8Id4cH\n+k8iIu1ETEQwA7tF1tlXSggPVV4DwAgr3b+/sqyI37pf5lLnFoJW/tK/3+VwcVnCZWzO2kx2SfYp\nr1VYZgcuPTnOSMdelnonc/fiGwH443dGcOOkRLpF2S+CuoQHkVeWx9d5XzMqbpQG5Yuc4xS4iARI\n9SKUFbhJNz0YZB0kzsrDYHGcaAAOm654jANO2IFL/6o1WaIo5vc5R+hZFsQWz2am/H0K3Yc/SFCX\nz3G4c/EWD6SyYARDugzFHbWDd8M+5MbucWRk22sc5Jfn897e9zhcao978fiMv5tYLyubTuVHoOdo\nf159xscjmx5h2d5ljI4bzUW9L2qRv5GItC9rfKMAuMS52b/vSucX/m1n1g7w1rSgjIgdAUBGQcYp\nz1kduExzbgJgW/AYkuPte+Tcsb2598ph5Bbb3dFiIoJYsnsJPuPT2i0iguv0SUTkTNTuI77b9GaG\nYwNBViWmUx+8mfaAeA8usl3d6ZGzj8KySt7ffhSAWCuPYAPTDw3my5R+FDg243a4SQyfzjurzgPs\nc7/+wxn0v+8FgrusY3P0Fr59fDVRS6aQW5aLwWBhEdIzBU9REn1/UQEEcaNzuZ2p5O9gjOGTQ5/w\n9Nan2ZWzi4TIBB6+6GFcDt0KRKRGkNNBhddHqkmgwIQxypEGgAsP33OupNQE8Yr3chbzHmx9Hc5b\nAEBClN1VNqMgg7Hdx5703EXldlBytXMdBSaUW2/5cYM01WNnvj5WRLl3IyHOEKYnTg94OUWkfdGv\nFZEAsSwLl8PC4zPs9vXiCud6epIDvS6BzJp0hx096ZG7g6+PFfj3/eyCzrAR8n1dmD/oZmYMrxkk\n39vs5onVaQS7HFiWha+8J6VHv8tLzq28FuokPzKBUXGjGBU3ijdSl3GYrbijt2I8/8JV2pOo8g1s\nc/WkODyCPy+/gc1ZmwlyBDF/6Hx+OPKHhLnDWvLPJCLtgNtpUeEFg4NU04eh1n7A8Leg+xnhSGeH\nL5EnPLP5n6CPKN/yD3zJ1xMR7CIxKhGAjPyMU547M7+cnhwn2ZFBWfI8ojp3bpBmcPdIvsos5JKh\nXXhgxxbO63Yebqf7JGcTkXOJAheRAHI57cBlp0ms2Rk/mnUXX8yh3BLuWbaDg+XdGVO5iZDimilG\np/XywkaI6dGHSwbH1TnnpAFdeWpNGs9/fwwACV3COJBTwvlxozk/dRlc/S+ItmfzCSu9hLve+QxX\n5H8J7fQF3sg0fhMZY59o5Q8AmNlvJj8c+UP/DEAiIvW5XQ6oWq/lsInhfMcupjs2Ms5hT/jxT++F\nFBPKzqAURhz6lIcfvpuZC++mf2wPYkJi+Hj/x9wx5g4cVk2PdI/XR0GZh5W7jnGz8zMAQgaevPvX\nhz+5kIIyD7vztlCxvYJxPcY1c4lFpD1Q4CISQC6HA/Cx1jeSt7wXcGXIdtwDppIQE0ZCTBghbic7\nyvvzbSDq2AagqmUl2/4x8KO5M8Fdd52V8/vFkHb/DBxVXdEGxkXY6yAkTYfUd+DQJn/gcjivFOOJ\nojJ3EjcXZDI/ZCvLYsbDxFlUWg6m9plK/051B+iLiNQXHuQir2pa9SPGXjdlsmM7AHPL7+FLMwSA\nW/OvZXXwRiaWrmP6Y5NZcdtkZvabyaupr5Ken17nfnPvuzt5fcMBAKY6N0NIJxg2+6TXtyyL6FA3\nG76yF7Mc33188xRURNoVDc4XCaDqAfo+HNxeeTPrr/4SYpP8x0PcTj71pQAQeXBNzRezvwKHC7qc\nPKhw1Bo/43JaVHh8vJ1RFeBULWYJcKzWwm7JjnSiPBazr/8HN428mcUpixW0iMgZqT1511Fjt9pW\nj3PJphOr7pgCQNfEZD7zDmOkIw03HvJKKxkZZ68XtT17e51zVgctAH2dWRA7GFzB35iPDUc3EOGO\nYEjMkLMuk4i0fwpcRALI5aj7X8rtDqrzOcTt4KgnArolE3ZsU82B7K/soMVVN/3JVE0WxsMbiu2N\nWqtaV78hdeBjhGMfpmsSMdGR9U8hIvKNyiprFpY8UhW4DHHYgcfAQcPp19WePt3j9fGlbwihVgXD\nrX14fYaU2BQsLD7K+Mh/Dk+thSojKKGTKYDOid+Yh83HNrMtexvjuo/TBCIiAihwEQkot9Oq97nu\nf7EQl5PCMg9fW31wF2cSRTHjeoVCbgbEDjqja4RUdSU7ZrpgsCC/ZpXq/FI7cLnQ8V+6WXkED515\nFqURkXNNdeNu9cxfAOt9tVo7Oify3A3j/ZORlFb6+K/pC0CS4xBenyEuLI6Le1/Mv4/8m/zyfKBm\nTSmAPtYxe6NL32/My9I9SwG4ZdQtZ1ssEekgFLiIBJCrXuASVD9wqQo6lh6MAiDJOsjcxBIwPrvb\nxBkID7bfPFbiosgdw4k9X5B1IhewA5e4yGDGVA2gZehVTS6LiJx7IqruL7XvXWUEM7Hscb6MvAyu\nftG/3+Mz7DpawD5jj9XrZx3F67ObhCfFT8JgWH90PQAHc0r93/t21cB8ep983EqFt4KXd7zMh+kf\nMqLrCJI6J500nYicexS4iASQu35XMVfdQKa63/hu0xuAQY5DDMxaYe9MnHRG14gJr+lO9mrpRGI8\nx3j4kfsBO3BJiPTxXedqCk0oxA1tSjFE5Bx14cBYAH591bA6+4/Qldfjfwnx5zX4ziETS4Vxkmyl\n463qyzq512TcDjfPbnsWYwy+6j6uYL9YCY+Ffhc1OFd+eT7zP5zPw/95mNiwWH476beBK5yItHsK\nXESaUf2uYv+qWnDyK58duCRZB+lzfC1E94bEyWd0zh9M6effft4zE5+xmOdcTXZeIfmllVzhW0us\nVUDBoKvBqX7hInLmHp6bwl8WjGH2yHjuvLxu99XRCQ3XWwHw4iTVJDLRmUroiVQAuod357rB15GW\nl8YfNjzKP/5jd2l14CPJOgzdkuvOAABkFmcyZ9kcUk+kcuOwG1k2exn9OvVrcD0ROXcpcBEJoH3H\ni+t8dtZ7MC+6wO7TnUkXKoyTJOsw0SX7odcYcJzZf8fIEDfv3GK3zuQRyVLvZEY69rL8oRuoKCth\nRvE74Aoh/jv/F4ASici5JMTt5NIh3bAsC6ej7v1r3riEU37vMc8cAPqkPuufQeT7w75PZFAkf9v9\nKpYrD4Ax1m7CrHLoVrdFp6iiiBuW30BWaRaLUxZz23m3EeoKDWTRRKQDUOAiEkDdo0LqfC73+Op8\n/u643lVbFll0ZoIzFQsDPUY26joje3fyb//a833SfD2Z71rJz1xvEld5GMYvhuCIJpVBRARqBupX\nqz/5yO1Ta8aerPWNZIV3ND0OfQh77NnE4sLi+O2EBzB4Ce7+LgA3uT7EZyxImUdJZQkbMzfyTto7\n3LrmVg4XHWZxymJuGXkLVr2XPiIioAUoRQIqMsRFZgEM6RFFr86h9I8Nr3O8Z6eaN4hHTAy9rOP2\nhwGXNvmaxYRyc+VP+Dj4Zyx0Lbd3jlnY5POJiAA4rPpj9Op+DguqvViuxQOe6+2FJdM/gUHTAfhw\nY2c8RQNwRewiqttS1rj385ajLyWb/8DW7K11zjdn4Bx+MOIHzVIWEekYFLiIBFD1jF8T+8dwzxUN\nB8aHumse9Gu9KYxz7IauSdB9eKOv1TM6hCP59oKTe0xv7q1cwK/dr7Bp6M8Z07lPE0sgImKr31Ws\nvmBX3U4bGaYbuSaCzntX293FLItPv86mvPxbhCa8jOmyifcJBTxE5KUxsedEhsUMY1jMMLqEdmFU\n3KhmLI2IdAQKXEQCKDzYDkxKKjwnPV77jeVz3itwO+C2uXc06Vqv/8/5XPzQWv/nV7zTWO0byY/7\nTWVMk84oIlKjfotLfcFuZ53PBgefuSdwZfYKyD8InRI4VlAOxFOy78dc2+lprvTtZtAPNhAT3Ufd\nwUSk0TTGRSSAQt32u4Dicu9p03pw8bz1HYg7s/Vb6usaUTMt8isLxwEWB023BjOZiYg0heM0LS4h\ntQKXvQ/MYEiPKL62qhaVPL6nTlrjjWRuYTGTHFF07ZSooEVEmkS/cEQCqHrwavUibCdTe0Cr6zQ/\nDL5JRLCL2MhgFl3QlylJsTXndOoHgYicvfqzItYXUqurmNNhER3q4uvKqntR3sEG6ROsLOjSN6B5\nFJFzS6sGLh988AGjR49m5MiRJCcn88orrwCQlZXF9OnTGThwIMnJyaxbt87/nZKSEubNm8eAAQNI\nSkpi6dKlrZV9kQaq31B6fL5TpvnxpQP922fTOmJZFhvvvoxf1htLoxYXEQmE2otGfnrXxQ2O1+8q\nFh3qZn9F1WyGRcfqHOtlZdPVKoCYAYHPqIicM1ptjIsxhu9973usXbuWESNGkJGRweDBg5kzZw4/\n//nPOf/881m+fDkbN27k29/+Nunp6bjdbh566CGCg4NJS0sjPT2d8ePHc/HFFxMTE9NaRRHxq35D\n6T113ALA7JE9eWfrEU7dLtN0am8RkUDwVN3IYsKD6N0lrMHxkHqD86ND3WzyVU3VXnCkzrG5zjX2\nRvJ3Ap9RETlntOqrWcuyyMuzF6UqKCggJiaG4OBg/v73v7N48WIAxo4dS8+ePfnkk08AWLJkif9Y\n3759ueiii3j77bdbpwAi9VR3/ar9pvJkqvuGV3pOE+E0Qf21Y0REmsJT1eX1VK24Kb07MTAugseu\ntdehig51c4IovGFxcGgTptZ9sL91BLCg7+Rmz7eIdFyt1uJiWRZLlixhzpw5hIeHk5uby1tvvUVh\nYSGVlZV0797dnzYxMZEDBw4AcODAAfr06XPSY/U98sgjPPLII/7PRUVFzVQaEVto1boGpxu7Uv1D\noLD85LOPNcWDV4/gvnd3MmlA14CdU0TOXZVeO/A41bTIIW4nK26f4v8cHeoGLIq6jyN637+oKCv2\nH+tu5UJ4LDjdzZpnEenYWq3FxePx8Lvf/Y633nqL/fv3s2rVKubPn4/HE7gfcrfffjuHDh3y/4uI\n0Eri0rxum5rErJSe3Dtr2Demq7/+QSBcM6Y3O38znS7hQadPLCJyhs50AjA7cIHiIHuA/p8/3Og/\n1tvKhuheAc+biJxbWi1w2bp1K0eOHGHyZLvZeOzYsfTq1Yvt27fjcrnIzMz0p83IyCAhIQGAhIQE\n9u/ff9JjIq2ta0Qwj88bRXyn0G9OFxncQjkSEWka08hReNFh9kuTQmc0AB9tTAWgMwXEWXkQNySw\nGRSRc06rBS69e/fm6NGj7Nq1C4C0tDT27t3LoEGDuOaaa3j22WcB2LhxI4cPH2bKFLs5uvax9PR0\n1q5dy+zZs1unECJNFKfARUTaica2uORbkQB0tgoBGOQ4ZCeIG3rS74mInKlWG+PSrVs3nnvuOebO\nnYvD4cDn8/Hkk0+SkJDAH/7wB+bPn8/AgQMJCgritddew+22b4h33nknCxcupH///jidTp588km6\ndlWffmlfrhjRk9v/vq21syEickqnmWOkgerAJddEAdAFO3AZFpwNBuiadKqvioickVYLXADmzZvH\nvHnzGuzv1q0bH3/88Um/Ex4ezpIlS5o7ayLNKqgZxriIiLSm6sCioXP9AAAMqklEQVTlhLHHk1a3\nuMS5SqESCNdLRhE5O60auIicy+6aPoge0SGtnQ0RkW9kneHqUNWBy0tbCrkuGLpUBS6dKLAThHZu\nlvyJyLlDgYtIK7n5Iq0gLSIdR1SI/ZMiy9iLUMZbxwGIc+TbCSK6tUq+RKTjUH8VEREROaUzHZzv\nqlqfKp8IitxdGRVizw46Ic4LwVEQFNZcWRSRc4QCFxEREQmo7NBE4j0HiAx2ElJ+HCLiWjtLItIB\nKHARERGRBkxjpxWr5RhdCTFlhJSfgNz9ENUzgDkTkXOVAhcRERFpIDLEHmzflHWnMsrttVy+7fwU\nKoth0MyA5k1Ezk0anC8iIiINXDu2N5kFZcw/v0+jv5vpi7bP0TUd8oGeowKcOxE5FylwERERkQZC\n3E5+Nn1wk767rywSnNA/f729I3ZQAHMmIucqdRUTERGRgHj02hQAckNrtdLEDobQTq2UIxHpSBS4\niIiISEBcMtheq2VrRQ82+pLsnWMXtWKORKQjUeAiIiIiAREW5ASgsMzL4orb2HTRqwpcRCRgFLiI\niIhIQLidDkLc9k+LE0RT0nPima9gKSJyGgpcREREJGCqp1EGCHbpZ4aIBI7uKCIiIhIwkcE1E5Z2\nCgtqxZyISEejwEVEREQCxu2s+WnRlMUrRURORYGLiIiIBMzuY4X+bYdD41tEJHAUuIiIiEizcCpw\nEZEAUuAiIiIizcKlwEVEAkiBi4iIiDQLh6ZCFpEAUuAiIiIiATOkR5R/W13FRCSQFLiIiIhIwNx1\n+SD/tuIWEQkkBS4iIiISMC5nTbRiqauYiASQAhcREREJmCCnflqISPPQ3UVEREQCZmxil9bOgoh0\nUK7WzoCIiIh0HA6HxT1XDCUtq/D0iUVEGkGBi4iIiATUTRf0be0siEgHpK5iIiIiIiLS5ilwERER\nERGRNk+Bi4iIiIiItHkKXEREREREpM1T4CIiIiIiIm2eAhcREREREWnzFLiIiIiIiEibp8BFRERE\nRETaPAUuIiIiIiLS5ilwERERERGRNk+Bi4iIiIiItHkKXEREREREpM2zjDGmtTPRUoKDg4mNjW3x\n6xYVFREREdHi15UaqoO2QfXQ+lQHrU910DaoHlqf6qBtaO16yM7Opry8/IzSnlOBS2vp1asXhw4d\nau1snNNUB22D6qH1qQ5an+qgbVA9tD7VQdvQnupBXcVERERERKTNU+AiIiIiIiJtnvO+++67r7Uz\ncS6YMGFCa2fhnKc6aBtUD61PddD6VAdtg+qh9akO2ob2Ug8a4yIiIiIiIm2euoqJiIiIiEibp8BF\nRERERETaPAUujVRWVsbs2bNJSkoiJSWFqVOnkpaWBkBWVhbTp09n4MCBJCcns27dOv/3SkpKmDdv\nHgMGDCApKYmlS5f6j/l8Pn70ox/Rv39/BgwYwJNPPtni5WpPmqMOHn/8cZKTkxk+fDgjRozgtdde\na/FytSfNUQfVsrKy6NatG7Nnz26x8rRXzVUP//znPxk+fDjJyckkJyeTkZHRksVqV5qjDrKzs7ny\nyisZMWIEQ4YMYcGCBZSWlrZ42dqLptbBiy++yPDhw3G5XDz22GN1zqnncuM1Rz3o2dw4zVEH1drM\ns9lIo5SWlpr333/f+Hw+Y4wxTzzxhJkyZYoxxpgbb7zR3HvvvcYYY7788ksTHx9vKioqjDHG/PrX\nvzYLFiwwxhizb98+Exsba44fP26MMeaVV14xl1xyifF4PObEiRMmISHB7Nixo0XL1Z40Rx2sXLnS\n5OXlGWOMOXDggImJiTFpaWktV6h2pjnqoNrs2bPNwoULzVVXXdUiZWnPmqMeNm/ebAYNGmQOHz5s\njDGmoKDAFBcXt1yh2pnmqIOf/OQn5rbbbjPGGOPxeMzll19unnrqqZYrVDvT1DrYunWrSU1NNfPn\nzzePPvponXPqudx4zVEPejY3TnPUQbW28mxW4HKWNm7caPr06WOMMSY8PNwcPXrUf2zs2LFmxYoV\nxhhjhg4dar744gv/sWuuucY8//zzxhhjZsyYYd544w3/sTvvvNPcfffdLZD7jiEQdVDfsGHDzJo1\na5otzx1NoOrghRdeMLfddpt56aWXWv3m2B4Foh6uv/568+c//7nlMt3BBKIObr31VrNo0SLj9XpN\nSUmJufDCC82yZctarhDt3JnWQbUFCxY0+LGm5/LZC0Q91Kdnc+MEqg7a0rNZXcXO0p/+9Ceuuuoq\nTpw4QWVlJd27d/cfS0xM5MCBAwAcOHCAPn36NPqYnF4g6qC2lStXkpuby9ixY5s/8x1EIOogPT2d\nZ599lvvvv79lM9+BBKIeUlNTOXDgAFOmTGHUqFHcc889eL3eli1IOxaIOrjnnntIS0uje/fuxMXF\nMWTIEGbNmtWyBWnHzrQOvomey2cvEPVQm57NjReIOmhrz2ZXa2egPXvggQdIS0tj1apV6n/cSgJd\nB//973+58cYbWbJkCeHh4QHIYccXiDowxrBw4UKefPJJQkNDA5zDc0Og/i94PB62bNnC8uXL8fl8\nzJo1i2eeeYYf/vCHAcxtxxSoOnjzzTcZOnQoK1eupKSkhFmzZvHCCy+waNGiAOa2Y9JzuW3Qs7n1\nddRns1pcmuihhx7irbfe4sMPPyQsLIyYmBhcLheZmZn+NBkZGSQkJACQkJDA/v37G31MTi2QdQD2\nm+YrrriCF198kQsuuKDlCtKOBaoOCgoK2L59O9deey2JiYn89Kc/5eOPP+bSSy9t8TK1R4G+H33n\nO98hNDSU8PBw5syZw/r161u2QO1QIOvg6aef5vrrr8fpdBIZGcnVV1/NmjVrWrZA7VBj6+Cb6Lnc\ndIGsB9CzuSkCVQdt8tncqh3V2qmHH37YjB492uTk5NTZv2DBgjoDn3r27Okf+HTvvfc2GIiZnZ1t\njDHmpZdeajAIcPv27S1WnvYo0HWQmppq+vTpY5YvX95iZWjvAl0HtbWFfrTtRaDr4fXXXzfXXnut\n8Xq9prKy0syaNcv88Y9/bLHytEeBroMrr7zS3HPPPcYYYyoqKsyVV15pHnjggZYpTDvVlDqonaZ+\nv349l5sm0PWgZ3PjBboOamsLz2YFLo108OBBA5h+/fqZlJQUk5KSYsaNG2eMMSYzM9NMnTrVDBgw\nwAwdOtSsXr3a/72ioiIzd+5c069fPzNw4ECzZMkS/zGPx2Nuvvlm07dvX9OvXz/z2GOPtXi52pPm\nqIPLLrvMdOrUyX++lJQU3Si/QXPUQW1t4ebYHjRHPXi9XnPHHXeYwYMHm2HDhpnFixeb8vLyFi9b\ne9EcdbBv3z4zbdo0k5ycbIYMGWIWLlxoSktLW7xs7UVT6+Cll14y8fHxJiwszERHR5v4+HizefNm\nY4yey03RHPWgZ3PjNEcd1NYWns2WMca0XnuPiIiIiIjI6WmMi4iIiIiItHkKXEREREREpM1T4CIi\nIiIiIm2eAhcREREREWnzFLiIiIiIiEibp8BFRERERETaPAUuIiLS6hITExk0aBApKSkMGDCAq666\nin//+9+n/d4777zD+vXrWyCHIiLS2hS4iIhIm7BkyRK2bdtGWloaCxYsYMaMGWzYsOEbv6PARUTk\n3KHARURE2pw5c+awePFiHnroIVatWsWECRMYNWoUw4YN4y9/+QsAH3zwAe+++y4PPvggI0eO5IUX\nXgDgr3/9K+PHj2f06NFMnjyZbdu2tWZRREQkQFytnQEREZGTGT9+PO+++y6jR4/ms88+w+l0kpOT\nw6hRo7j88suZMWMGs2bNYuTIkdx6660AfP7557zxxhusW7eO4OBgPv30U6677jp27tzZyqUREZGz\npcBFRETaJGMMACdOnOCmm25iz549uFwuTpw4wY4dO+jVq1eD7yxbtoxt27Yxfvx4/76cnBxKS0sJ\nDQ1tsbyLiEjgKXAREZE2aePGjSQnJ7N48WJmzJjBP//5TyzLYvTo0ZSVlZ30O8YYFixYwAMPPNDC\nuRURkeamMS4iItLmLFu2jGeeeYY77riD3Nxc+vTpg2VZrFu3rs6YlaioKPLz8/2fZ82axWuvvcaB\nAwcA8Pl8bNq0qcXzLyIigWeZ6rZ4ERGRVpKYmEhwcDAhISEUFxczdOhQfv7znzNx4kRWrFjBzTff\nTHh4OCNHjmTPnj3cddddzJ49m40bN3LDDTcQFBTELbfcwqJFi3jzzTd58MEH8Xg8VFRUMHPmTB56\n6KHWLqKIiJwlBS4iIiIiItLmqauYiIiIiIi0eQpcRERERESkzVPgIiIiIiIibZ4CFxERERERafMU\nuIiIiIiISJunwEVERERERNo8BS4iIiIiItLmKXAREREREZE27/8DwqdjNNDWm74AAAAASUVORK5C\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff3e493dcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the SPX time series. This now returns a Pandas Series object indexed by date.# Get t \n",
    "spx_index = asset_prices.loc[:, 'SPX']\n",
    "\n",
    "short_rolling_spx = pd.core.series.Series(np.zeros(len(asset_prices.index)), index=asset_prices.index)\n",
    "long_rolling_spx = short_rolling_spx\n",
    "\n",
    "# Calculate the 20 and 100 days moving averages of log-returns\n",
    "### START CODE HERE ### (≈ 2 lines of code)\n",
    "### ...\n",
    "short_rolling_spx = spx_index.rolling(window=20).mean()\n",
    "long_rolling_spx = spx_index.rolling(window=100).mean()\n",
    "\n",
    "### END CODE HERE ###\n",
    "\n",
    "# Plot the index and rolling averages\n",
    "fig=plt.figure(figsize=(12, 5), dpi= 80, facecolor='w', edgecolor='k')\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.plot(spx_index.index, spx_index, label='SPX Index')\n",
    "ax.plot(short_rolling_spx.index, short_rolling_spx, label='20 days rolling')\n",
    "ax.plot(long_rolling_spx.index, long_rolling_spx, label='100 days rolling')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Log returns')\n",
    "ax.legend(loc=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission successful, please check on the coursera grader page for the status\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 2939.2689,  2065.8155,  2428.6888,  2323.5646,  2228.6512,\n",
       "        2832.7891,  2771.952 ,  1765.647 ,  2230.2738,  2360.8532,\n",
       "        2222.0255,  2596.199 ,  1932.6528,  2930.1697,  2539.8038,\n",
       "        2747.3836,  2834.7257,  3501.9293,  1912.125 ,  2172.2049,\n",
       "        2534.7048,  2427.7477,  2187.8932,  2356.6817,  2238.3179,\n",
       "        1994.9164,  2388.5834,  2254.9847,  3515.196 ,  2921.5941,\n",
       "        1903.9954,  1854.4656,  2468.9543,  2207.0963,  2234.2487,\n",
       "        2206.5196,  2610.0842,  2654.0074,  2248.4479,  2950.6151,\n",
       "        2534.5414,  2675.5777,  2643.7591,  2675.5777,  1868.7086,\n",
       "        2928.2838,  2391.709 ,  2439.4625,  2536.4369,  3004.7813])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### GRADED PART (DO NOT EDIT) ###\n",
    "np.random.seed(42)\n",
    "idx_test = np.random.randint(low=100, high=len(short_rolling_spx), size=50)\n",
    "result = short_rolling_spx.values[idx_test] + long_rolling_spx.values[idx_test] \n",
    "\n",
    "\n",
    "### grading results ###\n",
    "part_1 = list(result.squeeze())\n",
    "try:\n",
    "    part1 = \" \".join(map(repr, part_1))\n",
    "except TypeError:\n",
    "    part1 = repr(part_1)\n",
    "submissions[all_parts[0]]=part1\n",
    "grading.submit(COURSERA_EMAIL, COURSERA_TOKEN, assignment_key,all_parts[:1],all_parts,submissions)\n",
    "result.squeeze()\n",
    "### GRADED PART (DO NOT EDIT) ###"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apply scikit-learn StandardScaler to stocks log-returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>AA</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABC</th>\n",
       "      <th>ABT</th>\n",
       "      <th>ADBE</th>\n",
       "      <th>ADI</th>\n",
       "      <th>ADM</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADSK</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <td>-0.177095</td>\n",
       "      <td>-0.503576</td>\n",
       "      <td>-2.684641</td>\n",
       "      <td>-0.040166</td>\n",
       "      <td>2.149514</td>\n",
       "      <td>-2.773218</td>\n",
       "      <td>-0.199237</td>\n",
       "      <td>-0.761249</td>\n",
       "      <td>-1.539968</td>\n",
       "      <td>-1.829376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-31</th>\n",
       "      <td>-0.904935</td>\n",
       "      <td>0.110571</td>\n",
       "      <td>0.665376</td>\n",
       "      <td>-1.782203</td>\n",
       "      <td>1.346264</td>\n",
       "      <td>-1.449596</td>\n",
       "      <td>-0.716880</td>\n",
       "      <td>-0.268812</td>\n",
       "      <td>-1.898412</td>\n",
       "      <td>-0.377810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>2.277787</td>\n",
       "      <td>1.256534</td>\n",
       "      <td>-1.179699</td>\n",
       "      <td>1.529962</td>\n",
       "      <td>0.592079</td>\n",
       "      <td>0.461992</td>\n",
       "      <td>1.590897</td>\n",
       "      <td>0.974079</td>\n",
       "      <td>0.941618</td>\n",
       "      <td>1.258580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-02</th>\n",
       "      <td>2.421231</td>\n",
       "      <td>1.215159</td>\n",
       "      <td>-0.513727</td>\n",
       "      <td>0.472721</td>\n",
       "      <td>0.345593</td>\n",
       "      <td>2.993509</td>\n",
       "      <td>-0.610369</td>\n",
       "      <td>-1.011401</td>\n",
       "      <td>-3.407901</td>\n",
       "      <td>0.190245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-03</th>\n",
       "      <td>0.526866</td>\n",
       "      <td>-1.126343</td>\n",
       "      <td>1.464752</td>\n",
       "      <td>-0.381145</td>\n",
       "      <td>0.343102</td>\n",
       "      <td>3.840506</td>\n",
       "      <td>3.186137</td>\n",
       "      <td>-0.018661</td>\n",
       "      <td>3.936335</td>\n",
       "      <td>1.206468</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A        AA      AAPL       ABC       ABT      ADBE  \\\n",
       "2000-01-28 -0.177095 -0.503576 -2.684641 -0.040166  2.149514 -2.773218   \n",
       "2000-01-31 -0.904935  0.110571  0.665376 -1.782203  1.346264 -1.449596   \n",
       "2000-02-01  2.277787  1.256534 -1.179699  1.529962  0.592079  0.461992   \n",
       "2000-02-02  2.421231  1.215159 -0.513727  0.472721  0.345593  2.993509   \n",
       "2000-02-03  0.526866 -1.126343  1.464752 -0.381145  0.343102  3.840506   \n",
       "\n",
       "                 ADI       ADM       ADP      ADSK  \n",
       "2000-01-28 -0.199237 -0.761249 -1.539968 -1.829376  \n",
       "2000-01-31 -0.716880 -0.268812 -1.898412 -0.377810  \n",
       "2000-02-01  1.590897  0.974079  0.941618  1.258580  \n",
       "2000-02-02 -0.610369 -1.011401 -3.407901  0.190245  \n",
       "2000-02-03  3.186137 -0.018661  3.936335  1.206468  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# Standardize features by removing the mean and scaling to unit variance\n",
    "# Centering and scaling happen independently on each feature by computing the relevant statistics \n",
    "# on the samples in the training set. Mean and standard deviation are then stored to be used on later \n",
    "# data using the transform method.\n",
    "# http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html\n",
    "\n",
    "log_ret_mat_std = StandardScaler().fit_transform(asset_returns.values)\n",
    "log_ret_df_std = pd.DataFrame(data=log_ret_mat_std, \n",
    "                              index=asset_returns.index,\n",
    "                              columns=asset_returns.columns.values) \n",
    "log_ret_df_std.iloc[:, :10].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FCxbA1dUVPB4PISEhKo9lZGRg5MiRaN++Pbp27Yrbt28rHisuLsakSZPw2muvoUOHDjh7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cY9HKJhcu8mfuUkqJ/oYPAjEX68nUeMmz0aSVjGw8UDE1dFE0WBO8e2o32jDHqUZDOus0eWWRIF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\nMRAhIiIiIiLD/R+PUHfiflrWwgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff3e493dd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the 20 and 100 days moving averages of the log-returns\n",
    "short_rolling_spx = log_ret_df_std[['SPX']].rolling(window=20).mean()\n",
    "long_rolling_spx = log_ret_df_std[['SPX']].rolling(window=100).mean()\n",
    "\n",
    "# Plot the index and rolling averages\n",
    "fig=plt.figure(figsize=(12, 5), dpi= 80, facecolor='w', edgecolor='k')\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.plot(log_ret_df_std.index, log_ret_df_std[['SPX']], label='SPX Index')\n",
    "ax.plot(short_rolling_spx.index, short_rolling_spx, label='20 days rolling')\n",
    "ax.plot(long_rolling_spx.index, long_rolling_spx, label='100 days rolling')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Log returns')\n",
    "ax.legend(loc=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "crisis_2001_2002 635\n",
      "crisis_2007_2009 354\n",
      "(3492, 420)\n",
      "Last N days of the dataset:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>AA</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABC</th>\n",
       "      <th>ABT</th>\n",
       "      <th>ADBE</th>\n",
       "      <th>ADI</th>\n",
       "      <th>ADM</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADSK</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-12-16</th>\n",
       "      <td>0.048156</td>\n",
       "      <td>0.240452</td>\n",
       "      <td>0.156457</td>\n",
       "      <td>-0.040166</td>\n",
       "      <td>0.209504</td>\n",
       "      <td>-1.308457</td>\n",
       "      <td>0.229593</td>\n",
       "      <td>0.353842</td>\n",
       "      <td>0.378619</td>\n",
       "      <td>-0.431163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-17</th>\n",
       "      <td>0.657942</td>\n",
       "      <td>0.501195</td>\n",
       "      <td>-0.180108</td>\n",
       "      <td>-0.115249</td>\n",
       "      <td>0.121412</td>\n",
       "      <td>-0.474871</td>\n",
       "      <td>0.138236</td>\n",
       "      <td>0.922656</td>\n",
       "      <td>-0.217628</td>\n",
       "      <td>0.216760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-18</th>\n",
       "      <td>0.864258</td>\n",
       "      <td>0.494531</td>\n",
       "      <td>-0.284769</td>\n",
       "      <td>0.897945</td>\n",
       "      <td>2.566273</td>\n",
       "      <td>0.747634</td>\n",
       "      <td>0.575724</td>\n",
       "      <td>1.831260</td>\n",
       "      <td>1.417926</td>\n",
       "      <td>0.549664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-19</th>\n",
       "      <td>-0.285876</td>\n",
       "      <td>0.524670</td>\n",
       "      <td>-0.415206</td>\n",
       "      <td>-0.025413</td>\n",
       "      <td>-0.169652</td>\n",
       "      <td>-0.515127</td>\n",
       "      <td>-0.082096</td>\n",
       "      <td>0.686380</td>\n",
       "      <td>0.246457</td>\n",
       "      <td>-0.183206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-20</th>\n",
       "      <td>-0.237193</td>\n",
       "      <td>-0.095901</td>\n",
       "      <td>0.250960</td>\n",
       "      <td>0.099780</td>\n",
       "      <td>-0.338791</td>\n",
       "      <td>0.610861</td>\n",
       "      <td>0.237364</td>\n",
       "      <td>-0.483890</td>\n",
       "      <td>0.404861</td>\n",
       "      <td>0.813525</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A        AA      AAPL       ABC       ABT      ADBE  \\\n",
       "2013-12-16  0.048156  0.240452  0.156457 -0.040166  0.209504 -1.308457   \n",
       "2013-12-17  0.657942  0.501195 -0.180108 -0.115249  0.121412 -0.474871   \n",
       "2013-12-18  0.864258  0.494531 -0.284769  0.897945  2.566273  0.747634   \n",
       "2013-12-19 -0.285876  0.524670 -0.415206 -0.025413 -0.169652 -0.515127   \n",
       "2013-12-20 -0.237193 -0.095901  0.250960  0.099780 -0.338791  0.610861   \n",
       "\n",
       "                 ADI       ADM       ADP      ADSK  \n",
       "2013-12-16  0.229593  0.353842  0.378619 -0.431163  \n",
       "2013-12-17  0.138236  0.922656 -0.217628  0.216760  \n",
       "2013-12-18  0.575724  1.831260  1.417926  0.549664  \n",
       "2013-12-19 -0.082096  0.686380  0.246457 -0.183206  \n",
       "2013-12-20  0.237364 -0.483890  0.404861  0.813525  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Assign a label 'regime' to each date:\n",
    "# 'regime' = 'benign' for all points except two intervals\n",
    "# 'regime' = 'crisis_2001_2002', or\n",
    "# 'regime = ', 'crisis_2007-2009'\n",
    "\n",
    "# first assign the default value for all rows\n",
    "log_ret_df_std['regime'] = 'benign'\n",
    "dt_start = np.datetime64('2000-03-24T00:00:00.000000000')\n",
    "dt_end = np.datetime64('2002-10-09T00:00:00.000000000')\n",
    "flag_crisis_2001_2002 = np.logical_and(log_ret_df_std.index > dt_start, log_ret_df_std.index < dt_end)\n",
    "\n",
    "dt_start = np.datetime64('2007-10-09T00:00:00.000000000')\n",
    "dt_end = np.datetime64('2009-03-09T00:00:00.000000000')\n",
    "flag_crisis_2007_2009 = np.logical_and(log_ret_df_std.index > dt_start, log_ret_df_std.index < dt_end)\n",
    "\n",
    "log_ret_df_std.loc[flag_crisis_2001_2002,'regime'] = 'crisis_2001_2002'\n",
    "log_ret_df_std.loc[flag_crisis_2007_2009, 'regime'] = 'crisis_2007_2009'\n",
    "\n",
    "print('crisis_2001_2002', log_ret_df_std[log_ret_df_std.regime == 'crisis_2001_2002'].shape[0])\n",
    "print('crisis_2007_2009', log_ret_df_std[log_ret_df_std.regime == 'crisis_2007_2009'].shape[0])\n",
    "print(log_ret_df_std.shape)\n",
    "\n",
    "print('Last N days of the dataset:')\n",
    "log_ret_df_std.iloc[:, :10].tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train dataset: (3055, 420)\n",
      "Test dataset: (437, 420)\n"
     ]
    }
   ],
   "source": [
    "# use data before 2012-03-26 for training, and data after it for testing\n",
    "\n",
    "train_end = datetime.datetime(2012, 3, 26) \n",
    "df_train = log_ret_df_std[log_ret_df_std.index <= train_end].copy()\n",
    "df_test = log_ret_df_std[log_ret_df_std.index > train_end].copy()\n",
    "print('Train dataset:', df_train.shape)\n",
    "print('Test dataset:', df_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 2 (Returns regression on SPX Index)\n",
    "**Instructions:**\n",
    "\n",
    "- Compute $R^2$, $\\alpha$, and $\\beta$ for in-sample and out-of-sample regressing each stock returns on SPX returns. Use df_train and df_test data. \n",
    "- Store  in-sample $R^2$ in **R2_in_sample** list\n",
    "- Store  out-of-sample $R^2$ in **R2_out_sample** list\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel/__main__.py:19: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead\n",
      "/opt/conda/lib/python3.6/site-packages/ipykernel/__main__.py:23: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead\n",
      "/opt/conda/lib/python3.6/site-packages/ipykernel/__main__.py:26: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead\n",
      "/opt/conda/lib/python3.6/site-packages/ipykernel/__main__.py:27: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead\n"
     ]
    }
   ],
   "source": [
    "# regress each individual stock on the market\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n",
    "# create a Linear Regression object\n",
    "lm = LinearRegression()\n",
    "stock_tickers = asset_returns.columns.values[:-1] # exclude SPX\n",
    "\n",
    "# compute betas for all stocks in the dataset\n",
    "R2_in_sample = [0.] * len(stock_tickers)\n",
    "R2_out_sample = [0.] * len(stock_tickers)\n",
    "betas = [0.] * len(stock_tickers)\n",
    "alphas = [0.] * len(stock_tickers)\n",
    "\n",
    "### START CODE HERE ### (≈ 10-12 lines of code)\n",
    "### ...\n",
    "stocks = df_train.columns.values[:-2]\n",
    "for i, stock in enumerate(stocks):\n",
    "    lm.fit(df_train['SPX'].reshape((3055, 1)), df_train[stock].reshape((3055, 1)))\n",
    "    betas[i] = lm.coef_[0][0]\n",
    "    alphas[i] = lm.intercept_[0]\n",
    "    \n",
    "    df_pred = lm.predict(df_train['SPX'].reshape((3055, 1)))\n",
    "    R2_in_sample[i] = r2_score(df_train[stock], df_pred)\n",
    "    \n",
    "    df_pred = lm.predict(df_test['SPX'].reshape((437, 1)))\n",
    "    R2_out_sample[i] = r2_score(df_test[stock].reshape((437, 1)), df_pred)\n",
    "### END CODE HERE ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Alpha</th>\n",
       "      <th>Beta</th>\n",
       "      <th>R2 in-sample</th>\n",
       "      <th>R2 out-sample</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>0.000448</td>\n",
       "      <td>0.575501</td>\n",
       "      <td>0.328228</td>\n",
       "      <td>0.424779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA</th>\n",
       "      <td>0.002176</td>\n",
       "      <td>0.690469</td>\n",
       "      <td>0.476366</td>\n",
       "      <td>0.388624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>0.007923</td>\n",
       "      <td>0.502159</td>\n",
       "      <td>0.253775</td>\n",
       "      <td>0.143598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABC</th>\n",
       "      <td>-0.001616</td>\n",
       "      <td>0.402682</td>\n",
       "      <td>0.160497</td>\n",
       "      <td>0.235728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABT</th>\n",
       "      <td>-0.000489</td>\n",
       "      <td>0.427570</td>\n",
       "      <td>0.186837</td>\n",
       "      <td>0.253681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADBE</th>\n",
       "      <td>-0.000820</td>\n",
       "      <td>0.589522</td>\n",
       "      <td>0.343281</td>\n",
       "      <td>0.316982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADI</th>\n",
       "      <td>0.000891</td>\n",
       "      <td>0.591461</td>\n",
       "      <td>0.342065</td>\n",
       "      <td>0.573918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADM</th>\n",
       "      <td>0.000758</td>\n",
       "      <td>0.511483</td>\n",
       "      <td>0.263903</td>\n",
       "      <td>0.313796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADP</th>\n",
       "      <td>-0.002394</td>\n",
       "      <td>0.621857</td>\n",
       "      <td>0.384923</td>\n",
       "      <td>0.562737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADSK</th>\n",
       "      <td>0.003927</td>\n",
       "      <td>0.565112</td>\n",
       "      <td>0.328240</td>\n",
       "      <td>0.277875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Alpha      Beta  R2 in-sample  R2 out-sample\n",
       "A     0.000448  0.575501      0.328228       0.424779\n",
       "AA    0.002176  0.690469      0.476366       0.388624\n",
       "AAPL  0.007923  0.502159      0.253775       0.143598\n",
       "ABC  -0.001616  0.402682      0.160497       0.235728\n",
       "ABT  -0.000489  0.427570      0.186837       0.253681\n",
       "ADBE -0.000820  0.589522      0.343281       0.316982\n",
       "ADI   0.000891  0.591461      0.342065       0.573918\n",
       "ADM   0.000758  0.511483      0.263903       0.313796\n",
       "ADP  -0.002394  0.621857      0.384923       0.562737\n",
       "ADSK  0.003927  0.565112      0.328240       0.277875"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lr = pd.DataFrame({'R2 in-sample': R2_in_sample, 'R2 out-sample': R2_out_sample, 'Alpha': alphas, 'Beta': betas}, \n",
    "                     index=stock_tickers)\n",
    "df_lr.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission successful, please check on the coursera grader page for the status\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ -9.67049922e-04,   7.40733288e-01,   5.55857450e-01,\n",
       "         5.09490225e-01,   4.59373236e-03,   6.46428603e-01,\n",
       "         4.12381016e-01,   4.13343769e-01,  -1.67079795e-04,\n",
       "         4.60162705e-01,   2.11584248e-01,   3.03661286e-01,\n",
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       "        -1.92892721e-03,   5.10956044e-01,   2.63389391e-01,\n",
       "         2.12686873e-01,   3.29892655e-03,   4.24035403e-01,\n",
       "         1.82665207e-01,   8.22965688e-02,  -2.38301557e-04,\n",
       "         5.16165939e-01,   2.62089005e-01,   2.96347564e-01,\n",
       "         5.72863544e-03,   6.39927220e-01,   4.01888033e-01,\n",
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       "         1.88434062e-03,   6.04344224e-01,   3.61820998e-01,\n",
       "         4.92241434e-01,   2.86425234e-03,   6.46641786e-01,\n",
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       "         4.76382046e-01,   2.41829346e-01,   6.12615351e-02,\n",
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       "         3.41425648e-01,   2.79446943e-01,   1.66000347e-03,\n",
       "         5.53728334e-01,   3.07801071e-01,   3.61175969e-01,\n",
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       "        -1.67079795e-04,   4.60162705e-01,   2.11584248e-01,\n",
       "         3.03661286e-01,  -3.51825087e-03,   5.12857306e-01,\n",
       "         2.63072385e-01,   3.94367557e-01,  -3.56153507e-03,\n",
       "         3.85281990e-01,   1.49195152e-01,   2.63746494e-01,\n",
       "        -3.50263092e-04,   7.31059905e-01,   5.30089940e-01,\n",
       "         6.42118528e-01,  -5.21189219e-04,   5.83053992e-01,\n",
       "         3.29664353e-01,   3.22211480e-01,  -5.96690873e-03,\n",
       "         4.53327854e-01,   2.09235336e-01,   2.20794268e-01,\n",
       "         1.19732349e-02,   1.94066487e-01,   3.97743312e-02,\n",
       "         3.49458130e-02,   5.16573911e-04,   5.16478832e-01,\n",
       "         2.65254927e-01,   5.06742176e-01,   3.29892655e-03,\n",
       "         4.24035403e-01,   1.82665207e-01,   8.22965688e-02,\n",
       "         8.89936998e-04,   4.90192634e-01,   2.36559487e-01,\n",
       "         2.78653662e-01,   1.67892060e-03,   5.93522136e-01,\n",
       "         3.50724296e-01,   3.99906367e-01,  -7.10945228e-04,\n",
       "         6.21759216e-01,   3.82730461e-01,   4.26154221e-01,\n",
       "        -2.91111923e-03,   5.99124121e-01,   3.63653751e-01,\n",
       "         4.25779252e-01,  -6.42132511e-04,   6.78114978e-01,\n",
       "         4.56388085e-01,   6.00665929e-01])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### GRADED PART (DO NOT EDIT) ###\n",
    "\n",
    "np.random.seed(42)\n",
    "idx = np.random.randint(low=0, high=df_lr.shape[0], size=50)\n",
    "### grading results ###\n",
    "part_2 = list(df_lr.as_matrix()[idx, :].flatten())\n",
    "try:\n",
    "    part2 = \" \".join(map(repr, part_2))\n",
    "except TypeError:\n",
    "    part2 = repr(part_2)\n",
    "\n",
    "submissions[all_parts[1]]=part2\n",
    "grading.submit(COURSERA_EMAIL, COURSERA_TOKEN, assignment_key,all_parts[:2],all_parts,submissions)\n",
    "\n",
    "df_lr.as_matrix()[idx, :].flatten()\n",
    "### GRADED PART (DO NOT EDIT) ###"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part 3 (Calculation of unexpected log-returns)\n",
    "**Instructions:**\n",
    "- Use **df_train**  and calculated in Part 2 **df_lr** with $\\beta$ and $\\alpha$ to compute unexpected log returns\n",
    "- Calculate unexplained log-returns as difference between the stock return and its value, \"predicted\" by the index return.\n",
    "\n",
    "$$ \\epsilon^i_t = R^i_t - \\alpha_i - \\beta_i R^M_t$$\n",
    "- Store unexplained log-returns in df_unexplained pnadas.DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unexplained log-returns of S&P 500 Index stocks (3055, 418)\n",
      "Unexplained log-returns of S&P 500 Index stocks:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>AA</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABC</th>\n",
       "      <th>ABT</th>\n",
       "      <th>ADBE</th>\n",
       "      <th>ADI</th>\n",
       "      <th>ADM</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADSK</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <td>1.042699</td>\n",
       "      <td>0.958259</td>\n",
       "      <td>-1.627829</td>\n",
       "      <td>0.815262</td>\n",
       "      <td>3.056585</td>\n",
       "      <td>-1.522426</td>\n",
       "      <td>1.053955</td>\n",
       "      <td>0.322498</td>\n",
       "      <td>-0.219042</td>\n",
       "      <td>-0.635088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-31</th>\n",
       "      <td>-1.990722</td>\n",
       "      <td>-1.193765</td>\n",
       "      <td>-0.289570</td>\n",
       "      <td>-2.540007</td>\n",
       "      <td>0.540397</td>\n",
       "      <td>-2.560558</td>\n",
       "      <td>-1.833211</td>\n",
       "      <td>-1.234180</td>\n",
       "      <td>-3.068782</td>\n",
       "      <td>-1.447484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>1.818522</td>\n",
       "      <td>0.703883</td>\n",
       "      <td>-1.587967</td>\n",
       "      <td>1.210541</td>\n",
       "      <td>0.251689</td>\n",
       "      <td>-0.007182</td>\n",
       "      <td>1.118464</td>\n",
       "      <td>0.565542</td>\n",
       "      <td>0.448237</td>\n",
       "      <td>0.804120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-02</th>\n",
       "      <td>2.429032</td>\n",
       "      <td>1.222879</td>\n",
       "      <td>-0.514452</td>\n",
       "      <td>0.480108</td>\n",
       "      <td>0.352210</td>\n",
       "      <td>3.002779</td>\n",
       "      <td>-0.602783</td>\n",
       "      <td>-1.004828</td>\n",
       "      <td>-3.396594</td>\n",
       "      <td>0.194417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-03</th>\n",
       "      <td>0.040778</td>\n",
       "      <td>-1.711177</td>\n",
       "      <td>1.033078</td>\n",
       "      <td>-0.719335</td>\n",
       "      <td>-0.017217</td>\n",
       "      <td>3.343853</td>\n",
       "      <td>2.686136</td>\n",
       "      <td>-0.451039</td>\n",
       "      <td>3.413969</td>\n",
       "      <td>0.725667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A        AA      AAPL       ABC       ABT      ADBE  \\\n",
       "2000-01-28  1.042699  0.958259 -1.627829  0.815262  3.056585 -1.522426   \n",
       "2000-01-31 -1.990722 -1.193765 -0.289570 -2.540007  0.540397 -2.560558   \n",
       "2000-02-01  1.818522  0.703883 -1.587967  1.210541  0.251689 -0.007182   \n",
       "2000-02-02  2.429032  1.222879 -0.514452  0.480108  0.352210  3.002779   \n",
       "2000-02-03  0.040778 -1.711177  1.033078 -0.719335 -0.017217  3.343853   \n",
       "\n",
       "                 ADI       ADM       ADP      ADSK  \n",
       "2000-01-28  1.053955  0.322498 -0.219042 -0.635088  \n",
       "2000-01-31 -1.833211 -1.234180 -3.068782 -1.447484  \n",
       "2000-02-01  1.118464  0.565542  0.448237  0.804120  \n",
       "2000-02-02 -0.602783 -1.004828 -3.396594  0.194417  \n",
       "2000-02-03  2.686136 -0.451039  3.413969  0.725667  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_unexplained = df_train.loc[:, stock_tickers]\n",
    "\n",
    "### START CODE HERE ### (≈ 4-10 lines of code)\n",
    "### ...\n",
    "df_ = pd.DataFrame(index=df_train.index, columns=stocks)\n",
    "df_ = df_.fillna(0)\n",
    "df_pred = (df_.T + df_train['SPX'].values).T \n",
    "df_unexplained = df_train[stocks] - df_lr['Alpha'] - df_lr['Beta'] * df_pred\n",
    "### END CODE HERE ###\n",
    "\n",
    "print('Unexplained log-returns of S&P 500 Index stocks', df_unexplained.shape)\n",
    "print('Unexplained log-returns of S&P 500 Index stocks:')\n",
    "df_unexplained.iloc[:, :10].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission successful, please check on the coursera grader page for the status\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ -1.06384099e+00,   2.46332604e+00,  -3.98137854e-01,\n",
       "        -1.73038638e+00,  -1.24664956e+00,  -3.21817166e+00,\n",
       "        -2.68605112e+00,   5.85249927e-02,  -6.03871994e-01,\n",
       "         1.03144668e+00,  -6.01130305e-01,   4.94079044e-01,\n",
       "         1.30232663e-01,   1.79332853e+00,  -1.80093157e-02,\n",
       "         3.77015908e-01,   1.13280607e+00,   9.63269929e-01,\n",
       "        -1.59153487e-01,  -8.88290688e-01,   9.21991730e-02,\n",
       "        -2.31988629e+00,   5.36111856e-01,   7.33048310e-04,\n",
       "         2.15086376e+00,   7.49150157e-01,  -6.54042167e-01,\n",
       "         1.16224382e+00,  -2.30230439e-01,   1.44999689e+00,\n",
       "         1.05277023e+00,  -7.98942377e-01,   2.02227271e+00,\n",
       "         9.92660502e-01,   1.83791224e-01,  -2.03348972e+00,\n",
       "         1.19212702e-02,   1.04849661e+00,  -1.63479730e+00,\n",
       "        -1.49765433e+00,   7.08336754e-01,   1.68044925e+00,\n",
       "         1.62131811e+00,   4.70785893e-01,   1.13280607e+00,\n",
       "         2.48876285e-01,  -9.46299873e-01,   4.10043306e-01,\n",
       "         7.48012073e-02,  -1.48831729e+00,  -1.48892790e+00,\n",
       "         8.28865986e-01,  -2.39932634e-01,   1.08907282e+00,\n",
       "        -1.04344925e+00,  -2.12259066e+00,  -1.28603637e-01,\n",
       "        -5.01361862e-01,  -2.16458853e+00,  -1.48243566e+00,\n",
       "        -5.98827164e-01,  -3.95188258e-01,   3.34495330e+00,\n",
       "        -2.08734894e+00,   7.45087779e-01,  -1.04352780e+00,\n",
       "         2.85174202e+00,   4.43656482e+00,  -1.80093157e-02,\n",
       "         8.28865986e-01,  -1.19376469e+00,   1.07507937e-03,\n",
       "         2.28021800e+00,  -4.90196977e-01,  -1.59536385e-01,\n",
       "         1.29023038e+00,  -9.05798264e-01,  -5.52918964e-02,\n",
       "        -5.10496686e+00,  -1.35687103e+00,   3.66516263e+00,\n",
       "        -1.16934288e+00,  -8.35486859e-01,  -5.33908733e-01,\n",
       "        -3.20885886e-01,   1.78669043e-01,   1.03144668e+00,\n",
       "        -2.82513305e-01,   1.74373734e+00,   3.69283021e-01,\n",
       "        -4.27066683e-01,  -2.76930876e-01,   1.72809911e+00,\n",
       "         3.58955938e-01,   4.30931745e-01,   1.16396725e+00,\n",
       "        -3.71384036e-01,   6.39617491e-02,  -1.40889830e+00,\n",
       "        -2.82513305e-01])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### GRADED PART (DO NOT EDIT) ###\n",
    "np.random.seed(42)\n",
    "idx_row = np.random.randint(low=0, high=df_lr.shape[0], size=100)\n",
    "np.random.seed(42)\n",
    "idx_col = np.random.randint(low=0, high=df_lr.shape[1], size=100)\n",
    "\n",
    "# grading\n",
    "part_3=list(df_unexplained.as_matrix()[idx_row, idx_col])\n",
    "try:\n",
    "    part3 = \" \".join(map(repr, part_3))\n",
    "except TypeError:\n",
    "    part3 = repr(part_3)\n",
    "\n",
    "submissions[all_parts[2]]=part3\n",
    "grading.submit(COURSERA_EMAIL, COURSERA_TOKEN, assignment_key,all_parts[:3],all_parts,submissions)\n",
    "df_unexplained.as_matrix()[idx_row, idx_col]\n",
    "### GRADED PART (DO NOT EDIT) ###"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part 4 (Kernel PCA of Covariance Matrix of Returns)\n",
    "\n",
    "**Instructions:**\n",
    "- Perform Kernel PCA with 1 component using returns data **df_test** for all stocks in df_test\n",
    "- Transform original mapping in the coordinates of the first principal component\n",
    "- Assign tranformed returns to PCA_1 in **** DataFrame\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7ff3bac40400>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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chV8gEUXjxnBERESUMIKgWPVKDKWxGjWH9sHhcEOSQgia+6HIyIDbZIKuvh5Zx5p3fEHA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\nE/EWA64+1a7AcEiGYdFHytP0F9nnpFNvyLGjSrk3uiXDULDXq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YS4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\njcnjVHElXf7ttFcQFFz0j5U85oqM03dRTWR5nny14s+yby9LU1MYGhrIptM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/QQPL69pc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xEC7x7OFZHTaIh6PFh270IJBpFtKhqtjmwqxfS//QJUlVL3DKFTZwrWs6b6OjQaDTMripwv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LM1KWspg0uUjarCn3AWhcPgIDgwTTnJN29JCRl08kHE75zmHypEpZu5u+ihr8wVFg+lVe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\np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TLnFS74++y1NSorLlLShh360egFebweSQtfVAfztGjA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\nQ7tVfrFDNTaH9m7NUuyvfzfeRmKa/kuXtfbD8y+U3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lsXu8bPxDBFmfSAZZsK6wcU8/ob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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff3bac4f518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.pairplot(df_train.loc[:, ['SPX', 'GE', 'AAPL', 'MSFT', 'regime']], \n",
    "             vars=['SPX', 'GE', 'AAPL', 'MSFT'], hue=\"regime\", size=4.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff3b99a5470>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DCRPaoOs6fvrTi/Hee2sDt9+5swNPP/0E7rvvzwCAPffcE8cdNwfz59+DH/3oJ/VsennC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HZ6WQKOiW8GWalceXwa4zbqhWWigtTOErJ+Ov74NZyGmAyaFpikf46oEWXNPzVdGsb/GVU2A1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\nQMKXIAiCIAiC6Ar+P8esDQauqBs2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff3bb08e438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stock_tickers = asset_returns.columns.values[:-1]\n",
    "assert 'SPX' not in stock_tickers, \"By accident included SPX index\"\n",
    "data = df_test[stock_tickers].values\n",
    "\n",
    "df_index_test = pd.DataFrame(data=df_test['SPX'].values, index=df_test.index, columns=['SPX'])\n",
    "df_index_test['PCA_1'] = np.ones(len(df_test.index)) \n",
    "\n",
    "### START CODE HERE ### (≈ 2-3 lines of code)\n",
    "# please set random_state=42 when initializing Kernel PCA\n",
    "pca = KernelPCA(n_components=1, \n",
    "                random_state=42)\n",
    "df_index_test['PCA_1'] = pca.fit_transform(df_test[stock_tickers])\n",
    "### GRADED PART (DO NOT EDIT) ###\n",
    "\n",
    "# draw the two plots\n",
    "df_plot = df_index_test[['SPX', 'PCA_1']].apply(lambda x: (x - x.mean()) / x.std())\n",
    "df_plot.plot(figsize=(12, 6), title='Index replication via PCA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission successful, please check on the coursera grader page for the status\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([  2.81264873,   1.0212579 ,   3.82280109,   4.45800988,\n",
       "         1.89638074,   4.93135654,   2.11776577,   9.60493421,\n",
       "         2.81264873,   3.28584703,   7.92116124,   1.6025791 ,\n",
       "         5.53281157,   8.55828773,   6.56407882,   2.52749704,\n",
       "         8.96373405,   1.35828487,   1.22531481,  24.23713855,\n",
       "         2.00760752,   1.93619077,   5.35570067,   2.60219962,\n",
       "         0.34785633,  20.37301703,   0.72409454,   1.31006507,\n",
       "         7.22057714,   6.16790594,   0.57324629,   1.66213893,\n",
       "         1.76561837,   6.75294026,   9.73804903,   2.83802785,\n",
       "         5.97808944,   4.45800988,   9.75209914,   1.30664976,\n",
       "         1.47305523,   9.36604765,   9.58799909,   3.33895779,\n",
       "         4.19472424,   1.35828487,   6.19673548,   0.59907927,\n",
       "         9.60493421,   1.68347838,   3.05861624,  10.30909458,\n",
       "         5.70803648,   3.88782753,   5.5758476 ,   0.1458809 ,\n",
       "         2.01257801,   4.51134676,   0.41091121,  14.92772154,\n",
       "         0.34785633,   2.19444128,   1.43233492,   4.72156492,\n",
       "         0.29730135,  14.36085461,   2.91241258,   7.27412575,\n",
       "         1.35005297,  10.48378192,   0.27945052,  20.4816482 ,\n",
       "         2.52749704,   5.70803648,   7.30869214,   8.19327029,\n",
       "         9.98519242,   4.30588102,   3.74692129,   2.24040025,\n",
       "        14.61628141,   3.20228466,   4.2461602 ,  10.5305691 ,\n",
       "         4.09021724,   1.57582128,   4.59217942,   6.12701792,\n",
       "        15.08979599,   4.45800988,   7.92116124,   7.64854209,\n",
       "         9.75209914,   2.19495232,   7.44010145,   4.60921436,\n",
       "         4.95089776,  12.94147928,   4.72156492,  14.92772154])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### GRADED PART (DO NOT EDIT) ###\n",
    "np.random.seed(42)\n",
    "transformed_first_pc = df_index_test['PCA_1'].values\n",
    "idx_test = np.random.randint(low=0, high=len(transformed_first_pc), size=100)\n",
    "\n",
    "#grading\n",
    "part_4=list(np.absolute(transformed_first_pc[idx_test]))\n",
    "try:\n",
    "    part4 = \" \".join(map(repr, part_4))\n",
    "except TypeError:\n",
    "    part4 = repr(part_4)\n",
    "\n",
    "submissions[all_parts[3]]=part4\n",
    "grading.submit(COURSERA_EMAIL, COURSERA_TOKEN, assignment_key,all_parts[:4],all_parts,submissions)\n",
    "\n",
    "np.absolute(transformed_first_pc[idx_test]) # because PCA results match down to a sign\n",
    "### GRADED PART (DO NOT EDIT) ###"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part 5 (Visualization with t-SNE)\n",
    "\n",
    "Lets turn attention to a popular dimensonality reduction algorithm: t-distributed stochastic neighbor embedding (t-SNE). Developed by Laurens van der Maaten and Geoffrey Hinton (see the original paper here), this algorithm has been successfully applied to many real-world datasets. \n",
    "\n",
    "The t-SNE algorithm provides an effective method to visualize a complex dataset. It successfully uncovers hidden structures in the data, exposing natural clusters and smooth nonlinear variations along the dimensions. It has been implemented in many languages, including Python, and it can be easily used thanks to the scikit-learn library.\n",
    "\n",
    "**Instructions:**\n",
    "- Fit TSNE with 2 components, 300 iterations. Set perplexity to 50.\n",
    "- Use **log_ret_df_std** dataset for stock tickers only\n",
    "- Store the results of fitting in **tsne_results** np.array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "np.random.seed(42)\n",
    "tsne_results = np.zeros((log_ret_df_std[stock_tickers].shape[0], 2))\n",
    "perplexity = 50 \n",
    "n_iter = 300\n",
    "time_start = time.time()\n",
    "### START CODE HERE ### (≈ 2-3 lines of code)\n",
    "#... please set random_state=42 when initializing TSNE\n",
    "tsne = TSNE(n_components=2,\n",
    "            n_iter=300,\n",
    "            perplexity=50,\n",
    "            random_state=42)\n",
    "tsne.fit(log_ret_df_std[stock_tickers])\n",
    "tsne_results = tsne.fit_transform(log_ret_df_std[stock_tickers])\n",
    "### GRADED PART (DO NOT EDIT) ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t-SNE (perplexity=50) data:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>regime</th>\n",
       "      <th>x-tsne</th>\n",
       "      <th>y-tsne</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <td>benign</td>\n",
       "      <td>-3.038673</td>\n",
       "      <td>-5.316556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-31</th>\n",
       "      <td>benign</td>\n",
       "      <td>-8.765260</td>\n",
       "      <td>3.094646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>benign</td>\n",
       "      <td>-8.244621</td>\n",
       "      <td>0.480547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-02</th>\n",
       "      <td>benign</td>\n",
       "      <td>-8.708703</td>\n",
       "      <td>-2.338986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-03</th>\n",
       "      <td>benign</td>\n",
       "      <td>-6.688275</td>\n",
       "      <td>3.085631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-04</th>\n",
       "      <td>benign</td>\n",
       "      <td>-7.527815</td>\n",
       "      <td>-4.522123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-07</th>\n",
       "      <td>benign</td>\n",
       "      <td>-7.912331</td>\n",
       "      <td>-5.846404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-08</th>\n",
       "      <td>benign</td>\n",
       "      <td>-5.841453</td>\n",
       "      <td>0.052098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-09</th>\n",
       "      <td>benign</td>\n",
       "      <td>-3.304428</td>\n",
       "      <td>-5.064686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-10</th>\n",
       "      <td>benign</td>\n",
       "      <td>-5.084796</td>\n",
       "      <td>-1.647474</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            regime    x-tsne    y-tsne\n",
       "2000-01-28  benign -3.038673 -5.316556\n",
       "2000-01-31  benign -8.765260  3.094646\n",
       "2000-02-01  benign -8.244621  0.480547\n",
       "2000-02-02  benign -8.708703 -2.338986\n",
       "2000-02-03  benign -6.688275  3.085631\n",
       "2000-02-04  benign -7.527815 -4.522123\n",
       "2000-02-07  benign -7.912331 -5.846404\n",
       "2000-02-08  benign -5.841453  0.052098\n",
       "2000-02-09  benign -3.304428 -5.064686\n",
       "2000-02-10  benign -5.084796 -1.647474"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tsne = pd.DataFrame({'regime': log_ret_df_std.regime.values,\n",
    "                        'x-tsne': tsne_results[:,0],\n",
    "                        'y-tsne': tsne_results[:,1]},\n",
    "                       index=log_ret_df_std.index)\n",
    "print('t-SNE (perplexity=%.0f) data:' % perplexity)\n",
    "df_tsne.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission successful, please check on the coursera grader page for the status\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ -7.27752779,   3.97922194,  -4.95499954, -11.95070426,\n",
       "       -10.96153847,  -5.59631304,  -7.34812751,  -6.42637253,\n",
       "        -4.34998945,  -6.89970789,  -6.51875683,  -9.59451548,\n",
       "        -4.32173727,  -5.61804782,   0.25647417,  -7.91333904,\n",
       "         1.84540425,  -1.59525999,  -4.69650804,  -7.82388042,\n",
       "        -3.52797559, -10.35609149,  -4.82478387,  -5.21829759,\n",
       "         4.16881871,   2.75929713,  -6.22412129,   0.71199362,\n",
       "        -2.38738997,   3.57643448, -10.74498128,  -5.84538947,\n",
       "        -4.9310639 ,   3.43898344,  -4.14266855,  -6.72443296,\n",
       "        -0.89687314,  -6.06944889,  -5.1753488 ,  -8.67070395,\n",
       "       -10.75367228,  -9.50263653,  -0.18979738,  -3.98885135,\n",
       "        -4.31156161,  -3.98885135,   3.62077396,  -9.31454961,\n",
       "        -0.86092471,   0.58070048,  -7.06093787,  -4.02564937,\n",
       "        -3.09743313,   2.89553328,  -7.22889814,  -4.37827015,\n",
       "        -6.69086267,  -8.95234196,  -8.61584711, -10.58632673,\n",
       "        -7.53349756,  -6.40884109,  -6.62375233,  -6.60614982,\n",
       "       -10.89034414,  -4.00172358,   6.30258067,  -6.20732752,\n",
       "         0.38678631,  -4.68414978,  -2.34763544,  -3.62741414,\n",
       "        -8.88872528,   1.14955065,  -4.35723264,  -4.35330341,\n",
       "        -4.18172544,  -2.56710331,  -7.84590043,  -3.39016821,\n",
       "        -4.99979225,  -0.62622467,  -3.6905336 ,  -4.66058956,\n",
       "       -10.42486813,  -3.63615232,   1.762335  ,  -1.96064274,\n",
       "        -0.69211448,  -3.09711116,  -5.63970741,  -3.51136039,\n",
       "        -5.28277617,   0.59504166,  -0.95834627,  -5.9675336 ,\n",
       "        -3.1866327 ,   3.44990257,   1.70706296,  -7.37366448])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### GRADED PART (DO NOT EDIT) ###\n",
    "np.random.seed(42)\n",
    "idx_row = np.random.randint(low=0, high=tsne_results.shape[0], size=100)\n",
    "np.random.seed(42)\n",
    "idx_col = np.random.randint(low=0, high=tsne_results.shape[1], size=100)\n",
    "\n",
    "#grading\n",
    "part_5 = list(tsne_results[idx_row, idx_col]) # because PCA results match down to a sign\n",
    "try:\n",
    "    part5 = \" \".join(map(repr, part_5))\n",
    "except TypeError:\n",
    "    part5 = repr(part_5)\n",
    "    \n",
    "submissions[all_parts[4]]=part5\n",
    "grading.submit(COURSERA_EMAIL, COURSERA_TOKEN, assignment_key,all_parts[:5],all_parts,submissions)\n",
    "\n",
    "tsne_results[idx_row, idx_col]\n",
    "### GRADED PART (DO NOT EDIT) ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_tsne_2D(df_tsne, label_column, plot_title):\n",
    "    \"\"\"\n",
    "    plot_tsne_2D - plots t-SNE as two-dimensional graph\n",
    "    Arguments:\n",
    "    label_column - column name where labels data is stored\n",
    "    df_tsne - pandas.DataFrame with columns x-tsne, y-tsne\n",
    "    plot_title - string\n",
    "    \"\"\"\n",
    "    unique_labels = df_tsne[label_column].unique()\n",
    "    print('Data labels:', unique_labels)\n",
    "    print(df_tsne.shape)\n",
    "\n",
    "    colors = [ 'b', 'g','r']\n",
    "    markers = ['s', 'x', 'o']\n",
    "    y_train = df_tsne.regime.values\n",
    "\n",
    "    plt.figure(figsize=(8, 8))\n",
    "    ix = 0\n",
    "    bars = [None] * len(unique_labels)\n",
    "    for label, c, m in zip(unique_labels, colors, markers):\n",
    "        plt.scatter(df_tsne.loc[df_tsne[label_column]==label, 'x-tsne'], \n",
    "                    df_tsne.loc[df_tsne[label_column]==label, 'y-tsne'], \n",
    "                    c=c, label=label, marker=m, s=15)\n",
    "        bars[ix] = plt.bar([0, 1, 2], [0.2, 0.3, 0.1], width=0.4, align=\"center\", color=c)\n",
    "        ix += 1\n",
    "\n",
    "    plt.legend(bars, unique_labels)\n",
    "    plt.xlabel('first dimension')\n",
    "    plt.ylabel('second dimension')\n",
    "    plt.title(plot_title)\n",
    "    plt.grid()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data labels: ['benign' 'crisis_2001_2002' 'crisis_2007_2009']\n",
      "(3492, 3)\n"
     ]
    },
    {
     "data": {
      "image/png": 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voExNzQzaTZ06k2nTZpGamsJ7740mNzdXPufl5cO33/6AnV0VZsyYxKVLF4sc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\nqhR0BUdaWgl9+jhp21b2KuwKxNAhTiw/eOp8D2P1d8vZeCiLbR8rr93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BAAAg\nAElEQVSJvwEfvqvgFX74oWoDUWRZpm1bt2iKij9jGRXlIP6VRHJOuV+be3A8KzqtNmxnFlpv21Ym\nJN18dGVtzNEOhvoOQVfneGL+suD3TkCj3alTJzZs2MAvv/xCaGhojULZ/fr145///CejRo3iq6++\nonnz5iI0Xg/ojcTRoxKjR+uNl0RBgURMjNvDBn3Y2D0pSxuKocp/uoz5mQ+aakVKvlq2mjVTjI5e\nRCUx0b2Nvkq8quTzDvGvZ/Hnq5bw4MaHPKrgq44+zzr72+Bai9TPDLtuIAeK9vJYzxn8p2C7aQhX\nb4T1bVSVPXoiZ9iRypXJYoNmdid3cP2NrqzvEPSFDHkLBJcqAWVMv/32W/71r39x7tw5Qzh7jtLX\nU2Vefvll9uzZgyRJzJ4925AvN0PImNYuvmQ4VaNuqprmIcO55A/HiWndhEd3j2Rv0RZS8iF9I4Q5\nlKEfE0n3Mtrz55eQ8JuddnOnYS0v87kdYBhS4ou0tBJ69XIiyzIz940g57Rb0pMDQ7xC5Gb5c7Nr\n0L69kzGbR7LNQyJUrag2Q5Zlv5/xVR1taKOy2Tj3j1eB2s0bVwen04nFYtF+1jVC81wgMFIjGdNp\n06YxdOhQOpgpQlSDxx9/vFb2I6gfVq0qYt7xUezVRXNT82OZeO7v7P3flTDrKuyxyutxG8aT57yZ\nhn9OhLeM++nVy0mrJebhX0+CGVTy6KONSEsrASDnSWMV/OLBC4m4V3lPrTY3ewBQ+7z11e9meda/\nRKfxp3WJ3NpcEWzxLFiTJInbowYajPbtUQOxWCx+q6PN2qiK573i01hX17hVRRTlQgiYiJC3QBA8\nAY12ZGQkU6dOrY+1CC5CoqPhbusw9ubthYiflBcjTpF7dh08/Iy2nT0W7OEnIWMsvGWeUy6/sSdh\nNqVtyFNExZO2bWWys4s4cULC6YR9+yy89JIxJ654zjIkjTS8vvhMKuvvd+dFfRWvqZ63vgDNLM/6\nx4+7AJCzUxFsyc0tNuSYnU4n8/cY6zzm75nLuC7j/VZHV6WNqrrGtCqiKPUtYCI8bMGlzIX6/gaM\nfd1777288cYb5Obmsnv3bu2P4OIjmPnKbdvKVer7LSiQGNxyLPzzW8Prn5f8RzHiRc1hzq9KSNqP\nxnhiYjjfxCVz7h+vcuDOCT5D4ypWq7v9a/TocJ3Blj1+uqrgDwxRpokdGMKtzauXF3U44PBhC6EV\nTbkqtBkvt91l3MCHsIzFYuGxnjMMrz3WcwZWq9V0Nra+GvvcP16lZNwEzv3j1aCN6bZjW9l0OMvn\nv7NtVQbhM6ZrHranN+8LX7O86+KGlPG1nTGblRnjYzaPJONre60fQyCoKy7k9zegp52VlcWRI0fI\nzs7WXpMkiRUrVtTpwgRVI1hPzGqFW27xbrVSi50yM4sNoeTExEasWlXs1dOt8c9voezKoIRMCgok\n2o5I4rNrx2Dfbp6vzsws9l145TkCVC0482j36n5vCQ6HM+iea7X4zeGA/v3DIek36HiKx4/2Nm7o\nQyBFlmX+U7Dd8Np/CrbzYNc/B6yODqaNqiqtUZ6eden9icg2m/J7qI3v2/TktK5CXx/qr6/qcSFJ\nKriUudDf34BG+5dffuGDDz6o84UIqk9Vv0SeLUT6MI+ST3a1TcUuhs7rubJFOh16FOCUu9CsYUvy\nfnZ/H3q8MJq9j28mGOWxxMRwr4cFM7wr2EFfxe4pu6oc2y3zqR5HPUd99byZZrj6uxKBMBmU8sox\nGDpFiyQUFEgGY+erCtpisdRKdXRVjKmnZ02DUM7941VC9u7h+zY9+cNzE+E59/b66+R5Huv+fg+D\n8ktoeG5ltYrifIUPf8+SpIJLnwv9/Q1YPT5nzhySk5OJioqqlwV5IqrHg+Ns2RnDl+jg+EKa2K4I\n+DlPDz20oimbdvwG65bDw53ceWzgzuhBDGk3jE1HNrDAtf1NjRI4kRhu0A1/5ZUSZBkee8y7Wjs3\nt4g2bWRWrrTyxBP+q7n1pPAOcZb/kjdssVb4xpzfGHlvQ266ycHMmcFpiqtDQHwNIHn00TBIGqY8\nHKgcGKLMCddlk8z278tI1UbuK9hIyt60v3Dry8uxVciUNZDY8fgYejz6OmDeOeDrPBpmrvSqbK+K\n4fa3Xl/V9kIwRXApUB/f3xpVj+/cuZPly5dz1VVXERISot14duzYUSuLE9Sc6oY1zTz0q0KbQcdT\nMOsqr+0X3LmIJrYrSOqcgtMp8UynNZz950pu8ZiFPX26f0W00FAIVgk3M7OYHl8up+1L0wipKCN1\no/K6PRYYnszqjA2sXh3cfxSzqV16tMI2U0nUwK1PvqqgG2aurHEbVzBqYLIsM7/jT6wYLBN3AvIi\nZU52/InlsozTKQXdAy9JUo0GhASK/NS0P1sUsAkuJBdaXyDgrTM9Pb0+1iGoAdX9EpmFeRb1/ojh\n2V1Mt9c/CBw9KhEfH8FrTVcySD8Lu+nb2E/7NtpqaPnaa4MTDImKkmn1/h5CKlzHcCitZfbwk34L\n38DbSJt51wb0OfPO66DLuhoPHanNkZaBWqO0f89jbbRoxEFX2O7o0aopwtVkQIiv8KGe6kqSipna\ngouBCymp69Nof/TRRwwYMIDc3FzT9++///46W5Sg6lTnS2TmoQ/fcivoIqhXhTZj15hPmfLBn00e\nBGTyOvxC6q8uYRUr5HX4BU6bS4mCO69dlSKxpm160i7UjrW8jIoQG3mVNyutZSbHSEsroU8fpzaY\nw1QsRodbyKWRSc5cgvwHAwqzmHnwas67LkdaeuIv4mJ2rfwV/dVkQIjZOib8+wFCLA0YqjOyVe3P\nvtAFQAKBngulL+DTaH/77bcMGDCATz/91PR9YbQvPqr6JfL00MdmTSAnvyWEn9JCw5PvG8wVDa/0\n8SAgYc//GIZe6QrHgn3Lx9TWOMy0tBKXdziRFBoSRx6N+vfAvkPx5PWSqGr7WKtWcpV0up1OZbyo\nWQGaOqq0TRuZPn18D+zwN3e7rkZagrdoSlUjLlFR/qeaVXdAiLoOWZZxyA4+LPyAHYXKTHaJ6hvZ\nC10AJBBcDAQsRLvQiEK02sfTM5RlmXbtlNGSN9/cGP3wjezsYjp2lL0+p4SaG/ko2vIfUlaL0Xbu\ntGhzsz2ZP7+Eli1lryEhM2aUMm9eGCm8Q7orl66XRM3OLtLWe+CAjznipsh0eX4w+yu3aK8MjB7E\nO4NWc+yYMZ/tqYgWqMDLnyJZVdTK9NsCPgvFzHK+wRahBUJdAxXl0CDU77plWeZc+dlqFUj62p8o\nYBP8HqhWIdrtt9/u9z+CaAO7dPHlGX7/vbttSv154oSkGUGzz43qPoRV+/A5x9oXoaFw221On1O9\nzCrPAebNU0RW4sgjDG9J1BMnJGJiFKNqNorTNxL7142gRzKsvP8tpn6oeKnHjlm8zjkzs1iTRwXz\ncaJ6oRtfHmtV8t2e25b3ivMZdjeLuPiaLFYVDGvA9VgXYN212fd9oQuABIKLAZ9G++233wYgMzOT\nZs2a0adPHxwOBzt37qSkpKS+1ieoRyIjvW/iTqd7XKZZ9fHUfin8MTqFURkRpGQMJ47d5GFxhauN\nozIfeug8d9zhwOFQ9qkaDbMwdyDyiCOVJZqnrUqi6nu0zc7HL/mp7M1/kF/6uUeVHjrkvVnAgq7Y\nJUzNWcPcykXM/mI893dJYExX72KpkL27DYa35MM9HO2V7OXJK9t69F+DWzTFZqOix01+l1Qb4z0N\na3C95i9PXxdGtjYLgPzVIggEFys+jbbal71//36WLl2qvd61a1cmTpxY9ysT1BlmnqHDYa7RbRzj\n6c2JExKtW8ukRI0n/fhSwpwyqdY3ibjnr7y57SuDctnChQ1ZuND92ezsIkIyVpDONEPLmK/JXw6H\ne6a2us3kG3fy5mf9DJ9Rz696N9/qF5dkZhYjyzKjsv7F3qIt7lGm+yG5izGPm/G1nTJrHo+FhmIt\nL6eUBsxY3x/7+nByc4tp395p2N4zN142MokdN0dT9skO4oY9SkrjdxnytbNOK6kNa0C5Ug4PlTVP\no1cXVba1VQDkrxZBILhYCdjy9fPPP5OdnU2PHj2wWCzk5+fz/fff18faBHWEWdj4xAnJMF0rWO83\nMTGcjIwihkZuI6xA+XyYA7qePOFDuczN7t0WGryxjzhdmPuxfjux7zQ/nuc92s4D2D/z3lYf0vdk\n1qxS5swJM32vqnheI+36eRS0PXPDYi+xlU2Hs9jW5ku+vAeliC+kM/aySug8jKKKdMZsHm9oZ/Ks\n5j6fOJr5m9ezzVYIZ6fDWWXftVFJ7asPWr8GKso5WxKqPGg894CmsmZm9MQUL4Gg9ghotJ955hnm\nzp3LgQMHAOjQoQNPP/10nS9MEDxVDfOZhY0jI2VtmMjGxLVakZen92vW/pSUFEGKdRbDrFPcrV+R\nkJLvMkj5Q7Cb5LkffbQRKR5h7pNRPWGn95oTE8N55ZWqpWU887gOBxQWVs1weO5D7fXWF8Kp1wiG\nK7lsD5322V+MZ30nt5fpdErMiFnMtmOt3RvtngiJ66HjJreHjtEI63PjElSpkjrY70igPmj9Go4e\nkrCvD7bQTyAQ1AYBjXZsbCyrVq2qj7UIqoHDAR9/bPHKs/oK88myjNVqzDWDe6pWVJTss8gLlJYq\nb2TsiZugGK31CyB9o+J1p1r+AoRhZ5zXJ9X9ah7rSt8PB9OnByd7qj6UeOZxDx2STML97kr5zMwS\noqJkLdduZuj69VOGrUTNzSbsXfc1mndfNo42fyI7W3IV48mwLgOGJ3Nr18EGY3rkCAxcMJGUYv01\nmgqZr2F/2l2JPyNmMYcPW0yNazAqeHqP+ehR74I6z+9IZaXM6i+zyDnl7oOWZdEHLRBcTATWZhRc\n1FRF6UodJ1dUcUZp1YpdYnjf4VA8yTziKMUGQCk2ek7pTm5uEdnZRVRWmu1ZMVT28CFM/eI37C27\nEXfwasJcueUwp0wcu8jMLCYtzdtbtvMAU3nDEIZ3dyJWPb8YXC5bVs4/aRjYzkDSUPZZ3qF9e2U6\nmG1VBkyZzht919G3b4T2p7BQqU6PuL0nsk25RrLNRqPbevJGrp1RWaNg/3DlmnRZx6qEVTzc35hn\nliTlesV9FWW4Rgl9XzRsN3DBRPr2DTeVXlWLvAZGD+Lg+EIGRg8yFHl5jg7ccHxZwCty7JiFnOmZ\nhtdmdlh82RpsNYqi/1PVinqBoL4JUgFacKmhVnqrXppeTWrbsdbQEeL7VfJy7AjXdooHqDwAuL3f\nnpO7E/10EhaLk8OHLSQn+3hA0I/HXPAZeVHjmRDyNrZKmbIQifBkpU3K3VbmxivPHLuE6Xv+BTb9\nCE41J+5bbQ1g5Uo/oz11+6fzOrA4oMNWLf+8/eR5dm3O4rFvmjMwbTVNystIR2lp8szrqyFi66d7\n+CGqJ6d6JrElZyR03GLIZ0dFjTB/iMhPJQ8LqUxSUgNWyLrmhPLewUHgtAZsn/NV5GWmHFbcDGCy\n3/0FE9rXUxttZBeS2qioFwjqG2G0L3HMKsHB3ZakhkDN1KSWJSxi42FXDrPNIh7fOwFiR0J+qlLk\nFesgvutqllUOYfL2CUzY3ZzXiPBTnOa+sdv7/wTF7sEV9oqfoX84Zkbjhhucut+8R3DG9DhKk6TV\n5P810zhH2wSLJZCnre5/s9c7u37+D/wMk3PaYC03Tw/oKRuVxKFeyUrY+TnAtspYfLduBYX3WmjX\nzny2t5IukJTpZUN108vWZEJZE9Rrpe/59jSeZkVeZv/Wz9ywmIEB+ufVCIC6drPQvh5h9ASC+sen\n0U5JSfEbFlu2LHC4TVD3BCsgYpYDnbRtPEgS2/Vazp1DXF4t0Plf5JxW3kvJh3s3SdiQ/bZmAaSw\njLhVLcgbBlOHul6cswJf+tdqnlgb6OFRfR11VQs+LNwasBodMPSAW63GvHR5OaSlldK46UImHIr0\nea063Tyd0v8+6dUD7h9vL5XhySQmbiA3t9hg3PQeqiz/icf3riTntPFziqocELuEx/NXs6xN8AMy\nzP6t5x4cT07OGi/BFS/0EZOMDQx7uJjqpCgEAkHd4NNoT5kyBYDt27cjSRJ9+vTB6XSSk5NDWFjt\ntMwIak6wAiK+hC6Gtk8weGSs0xlXnfGMOwG2SldLl5f36S7mSmGZUlXt9B6j6UvetLBQ4rq8FbT9\naA8p9MM+fK3h/eISj3NcZ/4AAO4+7szMYqKiZBwOPKRMZUgaCR3dr1zd8Bp+Of+z9vtDkVuIYQFx\n7NKiCur+fId/vb1UX+FtTw/1yi+ugaLmsHAXPNQbipuRmVlCmzZOHs9fbSgMg8CFYb7+rTt0cJ2/\nD2oa7hYjMwWCusen0e7bty8AixcvZtEi91i9u+66i8mTJ9f9ygRBEUzRleptxoWOpXenFE4dl3hn\n0GqsVhizeaRxY72Xp/Mc8yJhwmcStkrZ6H3qx1kOTybu38WEnQ5+jKbaPrU4ZBpXVpaxOMROn4pE\nXrPezdfPr4LhSexqchxamK3Rt2FQ0wPqFC+N2KXQpFDJGyNDxA/07dGNsganWeAycL0iEniRcYZq\n96ioIAaReHipwci5rti/jNyft0HEKZjeVnkx/BRt2jjp0AGWtanegAw1390wcyUbVpcCmZSNtPrV\nN69JuPtiHpkplM8ElxMBc9onT57kyJEjtGvXDoCCggIKCwvrfGGCmqOOXvSn/HRP2wSKS5Sc58xd\nE9irN646z/GrF0aRFdmMn97Q57S988+/WK+ncpWNkApXaNlpNkbT7ZmDRBx5NKhUDH2DyjLkNeF8\nvWazsk3GRsXQ6h4MPB8A3O1hxv1641pvi8+Bz5WXDgzmf69/U8v7Lx+8GqdTYliQHqfa2+6u4PfU\nbzfKv+qNhSzLbD6ygV/LTxl3um450sMSsuyskXZ3w8yVNJ4+FclV8h+auxMZmfJRyQE+WTUu9pGZ\n/r7/wqALLjUCGu1HHnmEcePGUVZWhiRJWK1WnnrqqfpYmyAI1JCmlg/WEWj0IkDvBmOZ/pfJriIl\nxVA++WQpL70UZvAcZ7Rew83JMoeSJK46JhH5RSk//yxRYVnM2zo3OPG59znadhNbn9tnXrDm4Znz\n9Z/IyzfTEdcZv/xUyB8HWCAjC7VTUQ1ZV1SY79e7WE3yypezLgPp/7N33vFR1Okff89ukiUEUKlC\nCC0UUVSCYCQi5RSR6iklMRCQDpbzjIii53noHXAqcPc7RJCmLIQE5DxpgtiNiYFIFAvSBBKCIHin\nkGLK7vz++O7MTtsSRFSY9+uVV8ju7Mx3NmGf79M+z/2SqrYm/sbD9ziV3nYj/jndMbrfizbM7nRK\nLLx5Ce2Wt9C/eOgoZHnNT9Lu9nig7J186ml69CSPh/dencWha8+t3OlveWSmLWVq81sjpNG+5ZZb\nuOWWW/j++++RZZnLLrvsfKzLJkyCGRilKMtq0IeCKGTTeqcyV1/tNYWVb7xRbAAUedCRI6MBL6SO\nh6b+4+5YNZEJl71COlb69LJotWq/RWc43QUiHB9QNtXCIM8fnaLm86uqzB4/AAVjiY2Vyc4uobhY\nwuOReWJPCroZIENH4vVmUJMZ4EbvzOMROuraDZIS4TCirepv08bLPW9N1D1/WVQjpvy+P77A1llr\ndx8+LLHwYy9LJHD5/jwqJHilXhHHv95wTr3gcIRebGxszg0hjfb+/ftZt24dP/zwA9rR288888zP\nujCbn05xcZjCKwaj+EHJQJ66Y1TQ86qv2X8bNNsJ7z0B7bby5Z47SS8IcM2EFaI3WouvqMzNmADV\n6NYG+cEH70bxuOfPLzN50LO6LqHP/f70gPo+JAyHjk7G3vQ7/vO/OYwd0ocn945gULU+BxssbOr3\nzvwbHe2QD6UQK1A7noLWk1548xLueWsi/VsPYtSVo33/1/TtXDUxgLIs4+5xAkph9KfisZXXiqLA\nA+fYC7ZHZtrYnD/CCo/379+fjh07no/12JwlVpW/VkbDWAUty2ajuOOMB1keGfBDV/ea9j7ZzXZb\n1dC19bAR32vabtOfbGiqyFsH9HQtQtqbFkLqEDUEbiUK8op3HOPbZJnvwRdq/7TLQP5XeZJ5X00T\nV5H0OdhQeVDjRuep3ZdS/dUpndFqejz0mFGtJz2g9WC2HNrIkPjf/+RiLkkS75t7xqX+/m8f58oL\n1laL/xzTvM4Vv3URGBsbLSGNdsOGDbnvvvvOx1psfgJKmFzrIVr1cF9+uUxhoT9kXlxsNor3Xi40\nr8FclOPxwDffOCxyw6tRDLb1sBEL43vgVtjjk/wMiDDI6vCRWHCnt/Q/XTDWUhTk+l4D8XolDh+2\nSg842PW4XgilJjnYo0cxbXTe/6YhpZzS5XX/3DY8g6sYvi2HNp6zYi6rjcz1DX5HvTqR58QLDlYt\n/msy2BA8hWQbdJvfGiGNds+ePcnOzub6668nIsJ/uMNhy5b/GrHyELXk5zt46CHt4A2Z+CeG6vK8\n47dMUr1mY1HO4cMSDz4YLXqdtfjasAIPG7EQH/FG+oVcAiKRlt2ExUclMau7QDzqTkANrTdqJJva\nrUbdU8rhwwR4L7ymtYzeMIHnEoT4SKgPbcWL1Rr90q+vIe2Ht9WNxejfCc3uRUwkiVxy6M4UlgTs\n9z7XxVytW8Njdwzg3W+rmXn1Mv68exzDr7rdNNf7bPi1V4vXBFvVzea3Rkij/cILL1BSot+JSpLE\nnj17frZF2ZxPJA5uGk6XkdAr9hbmf/yMyFP7ws+FhcnqkX5DYy0kMnduOW3zO1O+xmWhJuZ/zd11\nl/HSmfEhtbUVEgtdROOf1Z1YrBdsiYszj+AEbauVphVMaR8z5OJzXruTpIK6ACbPS4vHAx6PLML6\nGtJ+eNs/sasAJp8YwJPRnUliJRLQiS8AaNFifsDpa+eymMvphD/2SuMBWRjS/3RYd84M6m+5WtzG\n5rdOSKOdn59/PtZhc56wDJAUjGNXwd3Izw6AOt/CwPvVp5KT/XKhubkl/jy5hZBI80dL+aH5SCav\ncVlXgvte8xISoBcfGTGigrVrXZZrztPO3HZI5BU8L0LTPqMfFWUewal62MbK83pFok/bIhevUFgo\nqdKqWpSittTUOpAwFBzV0PYNQGwk1IldHkg8UJ8mdXbourZHtc7mTMCxnxL9WwUu5nJlZhCxK5/q\nLl2DCqQYOZsitlDY1eI2Nr8cIY12aWkpL730Ep999hmSJJGQkMDo0aOpVavW+Vifzfki4SW8GOZu\nGuRCCwslw5QuvZCIv1JdXwm+enUpn3/u8E3yMouPAAENNhhmbnuvF0plGVNM5zBjUXl+oB+qsIp6\nj/qdTHJyjC4toBhYXX68YKw4t4+8WBi3S4Twy3GRd+puhia9Tczhr/wNdUnXq/UB1oVuoxk5wFzM\n5crMoO7DDyBVVCCvEVPHamK4zzV2tbiNzS+HJGv7uCxIT0+nSZMmJCYmIssyOTk5/O9//+O55547\nLws8efLMebnOhUJlJXz4oTBCx45JPqUwBZn33ivl448l0tNjdI+TOsg8+WrfwBBynMEVyGbMKKd+\nfZm9ex0sXfrzbfLmzy+jWTOZ2FghNaoziK4fzMVvPu8YICHmNgoe3mJav5J7BiyFa8SL9V58WnYT\nEgtdaoQhN7eEaxbcS2T+Dqq6Xk/p/AXqS3XRAB+BRD1ipqdT+yW/lHDZ3RMofWZewPfjfKl82Vrj\nNjY/D40a1Q34XEhP+9SpU8yb5/+A6NOnD2lpvw5NYRszRUVmA5OVVcqnjpd599sNXN5yKVsOTmDK\n4ttZNFnRkJdgfYbOuCU2uJm8YDnnMBTIdDOyg2Cap21Bz56VvP9+lOVz2o2JXhTGovitznESYvrx\nTOIynvxsPD0aDKYggCZ6SHzh/qysMpo1W8Ox2x3Exspc54R7KKFVK1lnqM+W6i5dkde4haftclHd\npWvQ4628+KysUnr2tB4Rerb8HKF3Gxub4IQ02uXl5ZSXl6uTvcrKyqioqPjZF2Zz7pBlmR1nNpBz\nchsdXhLFQ2UNITNTjF9t1szLI7uTydFIYNep7STn+eFIkpVEamAFsmAha+v+bZg9W/HCA2mGE9Bg\nGxHrFHrgcXFeNhQN4I0iD7O6LuWx/AnsyhtOwaKxPtnW13kgqyys8xpRvHvA5+FDhw7eEK86O5RQ\n+NnktBWMIX8bG5vfJiGNdnJyMv3796dTp04AfPHFFzzwwAM/+8Jszh0pKXXY/v4y3ixsrj6W81AW\nORVC1Ss3t5ThVw0m5lC4oxytNLwDj8sEdP3bE3iR0bzMSsbgTvCoHnv89BQObhpuoRleA3wRgPpN\nF/Pk3vEMbDOE13sLkZUFUWtJmqYNO1mv1z+AJDDG52tqEGvaH1yRkvqL5rF/Kc62AM/G5kIlpNEe\nNmwYN954I1988QWSJPHEE0/QpEmT87E2m3OGzJOfjdc/NHQk7LkDOr5KSdVithzayIDWg6nnuiSM\nKmCLsHOIcZna/m0XHm7hHW4kB1wdcLffDTMuFb3iHZ0hPfag6/JFAPq+LTYopWVwfaSIKBQVhXdO\nxYPWEirHXVgohZU31hqheNsIBeXXVoBnY/NrIKTRPnDgAK+99hoPPfQQADNmzGDs2LG0b9/+Z1+c\nTc0xj4oEkOjdeAgxtWF6/DL6LpqsGmytgQMhq2k02K1aycybV0Z6em31fMY+7b+ebMCl3KsLfU+a\n9CPt2nn57juJzt9dS9UKlzqCE3ziKzu64b7NWM0d2rjq1+O/T2MEICc9i6SKwEUdsbFmj9fY9y3L\nMq1bg8MRuOAqnPCz0QgpYzLPdSGX9d/Ab4+IXflIvlScVFFBxK5822jbXPSENNozZ87UhcOHDh3K\nU089xapVq37WhdmcHYFGRQ5uPpoH2owS8qSKR/zlMJ2BW9BnqSpfqtCqlewzVqDLOWv6tNMyhpHO\nFJN06Ysv+ivGm8xPY3F1LUbzMjeRjYsqqiJcHB2yQ7/QEB67gjLhS0/oCIDWY8aLQl4AACAASURB\nVFbuz8o7VoyvKtcZ508bJEaNDriuYJXbRiP03quzuOqOQT9ZZ9yI0wk9e1r3mf+WqGkBno3NxUBI\no+3xeOja1f+fRftvm18ngfKlikRndnYpR4/CM0dT2OU7LK0APt6SxOs7nhJ90D4eW7eQnSUb+OM1\ny4R0qa5KXBin9KQconOspEv9iByw6N9WC9KqE3Ef8kAtQxW677zh5Jb16CMAXf6Wwi5DBXyLFrJO\no11rYI0GPJBc54h+o8jIKCU1Ve/JKucM1MqlNUIVkRKv1Cvi9jBkQM+mtaom8py/1tatc1GAZ2Nz\noRHSaNetW5eMjAwSExPxer188MEHxMT8tsNuFxo16ct1OsVXSkoddUxlWtZAFsv3Eu0t4vcI0RJF\nL/zdb0XV+fYjzUHJiBhyzhWdr6M8Z6WFdKk1ujGcBeiU1dJYyRN9JyLd0JUT3UaaXjtjRjmNG8tU\nV0NGhvCadSNINRGAVF5hl2FM6KFDkvqe9egRvE/a65WYHr9M3LuPBX2WEhEhWb63xcWSZZRDQWuE\nzlxzJe7T6epzgWRAgw3mCERNjPDZnP98crEW4NnYBCKk0Z49ezZz585lzZo1AHTp0oXZs2ef1cWq\nq6t5/PHHKSwsxOPxMH36dNtzPwcE8+6C4jNwidzr1/bWecoSf75qGbe96zda2pzzpEk/0rGjlw+9\naTxPLetxnEHEV/yI59JYKSrMt1cgv+/2PTdZd6Sxnzsrq1Qz5125juTz0s2bS8U71vdzCzweIXqi\ncOQIpGyY7N+sAGM3T+DVYWstw/PWIXt9kVpFSio/Jt9F2pYRcNp/jJUM6NkM5qiJEb6QBn/Y2Fws\nhDTa9evX5+mnn+bUqVM0btz4J13stddeIzo6mjVr1rB//35mzJjBK6+88pPOaWONdhyl1usWBk5r\nSCW9trfOU5Z5LF+vMa3NEWtz1jNmjKCYEbgVoxqG+IoRbYW5VFFB7c/yycoaBQiDagxHAyTPyRLX\ncemv07Sp0jMdasPgR+exKyToC+56XzUASbL2tANVjicnx5CdXUL79sKoS5LQGS8tg5lXC5GXbnWG\n4PXqz1vTwRw1NcL24A8bm98eIY12bm4ujz/+OFFRUWzdupVZs2bRvXt3+vTpU+OLDRkyhEGDBgFi\nM/D999/XfMU2YaE1PorXnbHHzcYDG7j5hxWQmqIaOJ22t85Tlrg1bjANymRN1bm1SpreAz478RXj\n5uHR//TA/R9xHxkZZs/Y6jpXXunhpsk/8veijeDKDHvDABh01ZU16wejDL6/FOvedbFRio2VmTu3\nzDD+VGwI2rXzqmHr7rVGk37vVFXkJQeJwYboSKDBHC/3W8uRI6Jg0OMR546NlXE6zeH8UEbeHvxh\nY/PbIuRQ7Pnz57N27VoaNWoEwJQpU3jhhRfO6mKRkZG4XGIwxMsvv6wacJufH8ULe6toG4+dbiYM\nXcd/oxggN2MonjHXVEB2e4vRrBqwljqRlwgPOyzhE1/rlRZHlRiLGQQ3Y5jMYp5nKpNZrFvLiRNW\nRsR8nS+fXsPi97dQULpVGHLDfSrExsqmEHngojf/kBMlhO7xiI3EjBnl6lHJyTH06FHHcpLaO9+v\nZNSWEZyu+IFRW0aw8ehKjBsY4xgASZJ4aF9jXnsvjuP15tG3ZT8GthnCkSMOunevQ/fudejRo456\n3e7dY8TGSsPUNyeYzqs9/8A2Q+jbsh8Hxhep57cNto3Nr5eQnnbt2rVp2LCh+nP9+vWJjIwMeeJ1\n69axbt063WP3338/N910E6tXr+aLL75g0aJFZ7FkGyPaavFAwy2sQqGsX4XWcHTubJbhLCyU8Hgc\nFBVJzJ9fTpMmMrt3O5gzJ5hWuEXrVds3wBvh81oBJNzuEk6dcrBnj0MNtbsNE8LUM8rCSCrGu1Ej\nmePHYdouY4vXKHFfMy7T3KfesGsNbSiMLWIeD6b6gdAIGdldJf6w9Xd1JGCqf773+tVMK0hmRJU/\nB+3KzODWeWtFy1PODNY9+w8qO47k4MFA1xHV80k3VrNySHjTt1I7pqnhc9vDtrH59RPSaNeqVYsd\nO0Qv7Q8//MDmzZtVbzkYw4cPZ/jw4abH161bx9tvv83ChQvDMv42oQmnvccqFMr9HeCtWcwddReJ\niV68Xn2BlscT5uAME77WK0c1tN3mf3h9hmqk/tplCfOOj6MgIzzZUqOQSkZGKdOmxehyzvHTUzi4\n5w5huLUMHwHeSDVMPnt2NIFqKbVGWp0dXkMaNTL+LiRmdV2qK+jb9Xim+IcmvJ9zEmK+9uegjX3d\nkbs+pjLFXFGvo2AczyUMp56LsI1wsMEfv9Z2MBubi5WQRvvJJ5/kL3/5C5999hl9+/bluuuu46mn\nnjqrixUVFZGZmcmqVavCMvw2NSdYj/ZtLQfz4eFdlEm+ySB1voWOryJJKTidxhYomaysMqwLucKo\nCi8YCx3X6x8bmiqOb7+ZP5U0E4+dpWypGi7X5JyHV69nTkFt/9ocHrFp0IziDHUtpY8brMdnWlWd\nG3E4MCmq/fkrCxnZjI0mBbcXbvGP4Kzqct1ZiYsI4/rTjeyvvR3MxuZiJKTRbtq0KYsXL1Z/9nq9\nOKySdmGwbt06vv/+eyZNmqQ+tmzZMqKiwpvgZBOaYF53UvQYyuaMNIWOr5tsON5X+V3meRFSk/WF\nXGFXhUuwZyhq3lk59suhNRo0Eh6+kLmSxVEMueu07lp/7bKEP2Xor5WRUUrr1nqFtJ+K1vArDKoa\ngiRhKOjDlEaY8MYYIhyRNIxuyHd1T+GePZu8jfNx3dCbLr5+5bg4fz7e4xEbmC5dvCj/jc7FPVhV\not+SXUyMZxfVXbrZvdM2Nr8QIY32v//9b8rLy0lJSWHUqFEcP36ciRMnkppa8/+06enppKenhz7Q\n5mdBlmVz6HjoSByONRQWKhsxf0X22H2xBkEValYVbqi8BmjzxAC+Nlw/HNnScDDtJQ0Gcb08Dtii\nu5ayydEqpCkV2Vbhca1WuccDO3c6TAVsxcX+1i2l3U7JHetkZAH23En3pCpqRXt4p+gt3i16G4CG\n0Y04VX6Sy9kGvaBvy29Z5QtRW81MP9djN401EGkFMO31fTgqP0deIySMbcNtY3P+CWm0s7KycLvd\nbN++nXbt2rF69WrGjBlzVkbb5pdFksyDPthzJ8eOOTRGwDx0Y+ukxfxwu5g7fUmTxQHFVgJcVff9\n601Chc1KttQacyg+I6PUUsikcWPhgX7yiUO0oGnuteOfUugaM4QCw7Uuv1xm3z7JZ3yjfdfwIhor\nrI2g1jg6nebiPat2O0CVkc3N1YbYR9Cy5TDKPKd1RYLbh71Lgvsq9efz1T+tTCGr6nIdU+v+R308\nsRgclZXiPsIc3lETpT4bG5vwCBnndrlcREVF8d5779G/f/+zDo3b/EooGCc8vYp6kLGReWnJBo/S\nXPk999B4evf20Lu3h7mH9LnZhL+mEMi4Bb++v4Vs0qQfrY9NWA6pg8H1g/ieIIaRnDghPNk1a0qZ\nP7+MuXPFhmLkyBiSk2OYPTua4SOUc4q17dnjYMkScx3F8eMSPXrU4cGVmeIa3RbAtKbiu+aagVAm\naoWL4tlrv5xOTEWCfV/prfs5WOvWuUKZQlb7paXU++O9PLf+tNoOVnptJ6qixB5fya+HWo9Q6ovx\ntaeJ70YjbmNjUzNCetogJn3t2rWLv/71rxQUFFDp23Hb/LYQw0JKWPChm8xPN8P61aTnK97uOFRv\nds8dlm1DHg90qzOE0kZ+Ja+eDQebvNfQ6L3vkSOr6dOnlOPHJb74wsHSpbUIJtAScohIwnLWRayH\nq3yFaOrrJVMoX2xYNNdqv1k8MfB+3TWV1xi9xEBT1bTn10qjgtnbVPqlAbXoq0F0Q74rP6X+PKD1\nYLWK+1ykEqzQVat7vVy9JY91tz5PpesS7p71IeXXruHLt1azreH/GHrHQKZuGRG0OG3j0ZWQusUQ\nVRkB6OeK22F2G5vwCWm0n3vuObZs2UJaWhpOp5Pi4mJmzpx5PtZmc45xOsVM6MxPN5uNIbKYr71+\nNXR8laudQzh59FJmdlhH69biiMOHJWYNvwfwK3k9kFX2k9d1/LhE795enE7Yt8/L0qVgFaYPr2hN\nMcBbzE8FfL3FtWp0zcBYSaNa5Z+t+qWVNqsBrQez5dBGBsffztQ3J9C/1RByc/XjQePi5JCbA4VA\nYevqLl2RVy5H8oqQv+T1qm1mkiTxY/JdPFz3VbYf+YBHQsikyrIYNkP7bbr3VZaHm+aKg50ft7EJ\nl5Cx7saNG3P33XfTpk0bAAYNGsQVV1zxsy/M5udBkizUytavosvIV/yGvP1mFr+/he7dY0hKqmsR\n0vR7ykphVrgh4mef9YezFZKTY9Rr+I1MgNnYIUPx5vtLK4AFmyAtoafh9YpR85qvVaNrmsnKKiU3\ntyTgEBErjP3SiuHecmijWsW9/cg2Xj+8gTZtvLoQe1GRpKqkKV+BQtHKgBnjsRUpqZTfNQrZlwIz\ntpkpxWlaAuXaJUli5tXL9A+uX23Zfx6xKz/s98jG5mInrPC4zYWDqCA3q4jN6baEW9/RqqWF52EW\nF0v07GkuxgrEww9bh7aVAScej2aOtkXRXFietub+0grgxc0StaplxrEHWCkU13yta5c0WUzSgqFE\nVTXitOc2ro3py/pTczi94c/Qbqt6zYyMUpxOsb59+ySN3rd4LDu7ROfVKl6u0futKZIksfDmJbRb\n3kJ9bHr8MlGFTmBvuqaoYfz7nqdhmyTqfJ5PrV5dqdJ4wDXRKpdlmTn79a2ASfOSadlyrW6ueE36\nz21sbGyjfcEQqlJXeb6oyFBBPrYnLTodZtZ+g3RomK1YyckxAYZ51AxL5TVTy1g4BtB/f39ssZQb\nTlxPreoiAKKpIpGPcDNazWErlfBJjfrxr85rcTgczIwdT/EtTmR5jM8YlVjO39aihLw9Hjh0SLzX\nsiw8YCvCraxe/eVK/panT0f1XTRZfT9CtXpZXUdbeJjGyySSR0TGtdywcBLiPZ4ETCZ3egnxmiiD\nVe49kEzqmq9W8U3ZMXrH/Q4JiRNlxxnRaQgREZJurrid07axqRmS/HOXpP5ETp4880sv4TeBlXqX\n9gPd/LxMZmYp/zw1lNxTfsWwxAY3k5frEsIoPtEUrUF6/32HycAqH/z6CWHnl0cfLTfooYuCrTRe\nYjGTiKYKb1QUf0tuz49DptKnye30fVvTujb7e1HRjnXO2er91aK85h/vuZn1qr74KuvRZF2xWqtW\nclgz0GVZZtSWEWw/opGCLWkMb82CgvG61wT6/YNZKz0rq5Tk5BjSeFnML6eCyogIJnS9EnfB+zB0\nJGnZTZjTxUGd35mNaihpU6t139KyH6v6Z+FwOGxJVBubEDRqVDfgc7anfdEiIUkST12zXGe8Xq0Y\nCOVfUjqoilMLxYd+q1aypccG6D74xyHao86F4Z406UfdvO5QdOrkJSurlGPHJF91ueRfyw3zSaze\nTV5sJe74z7mlZAM7zrymP8E5EHkJVHwVFzec+Pian89yyMu/9kKFuWBOka/VGtRWrax/Z0odQqtn\nsol+VeSWo6qrSazejXvGpaQVwOKjEtGFMvLr5kKxYFrlgdZ9c4u+pL2ebEui2tj8RGyjfQGjbTdS\ncsZakpNrC5lSn+pZWgHU3/IQrioZz2bxYX1qwEgOH5aorIRevcyeZiJ5RCM++KOpIJG8gEZ7zZpS\n4uJky4pqIzUx2AAnT0oBWsEk3AXv49YY0UW3LGXT1xuQJCnknHAFf0DKuuVKvL8O/nzVMpP4jHS/\nIg4TPh4PfP21zMOfGIa8DB1lublwOiGvcqVeK7xqCIlR+ipz5dj4eBlXn67IW0RuudIZRV6saOVM\nLIZor08QJkwhFS1Wue+5+X/nVPlJnSG3qjq3sbEJjm20L2BCG0d//ndW1yXEf5uIq0rkf52VFWx7\n+lPue1rMZxYV32Z1sjwSGcdyoqmgHBd5JAa82qefOti9G6qrf/q9GWnSRF8V7l8npsK70Rsm8FzC\nOq7vkEZVlTlffuiQpMsvZ+xxs+ngBra/r/SmDyGBMXg8kJoq3l8Rbn6Je+MfYrsHVl4L7gRxbVle\nE9Y9KBsDWZb5V/YqEWbfPwh6FcB7T5A0ZhO9rxrA4Pv9NQSKzriVVjjA9R0Ce7OKIS59J59HvtmB\nO2E3AHmxMK4Aoj3mCvJwsMp9/67FLcz44GH1mPOl8GZjc6Fh57QvEAIVHBmLp5TWLL0x1+Z/p6gG\neDKLVa95wOOL2HJok+WgEH9O+3rc3E0gbzQwYUwNC4Faca4ZaHLlEyn0bDSESy+VyS/dwCNtNV51\ngRCTycgoIzXVH05XUHLFVvnZvi378XK/tXzwgVN9H9N4mSVMxEUVAB6nk1mpHflxyFTu75FmKghU\n9M1BhKu3fLOSHWc2sKjvUqZsH8/h/x7jQMnn/gXtG8iH92bQrl3g9+eHH7/XVZkfGF9ETMQluut5\nveD1ykRESDRr5iUiQjzX4/4suPkxMfkNEXXp/00cXW99nLr3pp5VhboSqvd6vaS9nmx6D+353TY2\n1tg57YsAq+leVu1GevUuvZEUBleyKCqT2et4Ddpv1eVqJ3a7iyUvRuNmDO4ED3R8BdbfEWL6l+Ha\nCcv8oi41eN3cuaU4HP6QuPiuV1H7shpio2RW9V4LGIZ1+Ix7BRaTzNCmFkQIffsRf8j7hVuWcuSI\nviAvkTzVYAM4PR4mlNzAkeajOXzYXxluVYCWk3OGnSUbeLPQ7yVf3+B3oJ2wun41jvuFHrrVBi2n\n/GVm79RXmU99cwLu/lnExzs4cACSk+tYTmnLejRZFLZ9OVSdAOdOAPfWz0jb8R+e+SIdV5+aV3kr\nBtnhcIRddW5jYxMc22hfZCjtPlMWv8D7Jzfw5dOZOmPpZoxFTlpicNUK/uFs6n9o/Wp6LfOy5EUI\nJjlq6TmrhmOV37ur0etW89DHWvlV/zpndV3CY6ebqY881Nrf0yzyzpJuveZJZuK6/tSCDKkp/mMQ\nxnBmh3W6peWRyASWqoa7AiePvNoD96vCQOfmltCmjReriIJV4daAj75h9F4RqjaG2c2GXyZpwUZO\nlZ9UH7ksqhGXuRqqxV/TCiZAwnDSXP9H4r7d5N12KW7fPcnyCLGmoaNIKxA57bxYIKEniz/aS/Sr\nFchb/AVp1dUyR47oq8BD9YtbKb7Z2NjUHNtoX8AoFcVaRMg8BlI3mzzngMYSmX8UTtAZrqR5yfTq\ntVZtHwpfclRr4C8zPx3gdY/OKOO12uvY4wm2ZpnH8ifq1nnbi5MtCrcCSaT6+eQTh/9YX95/+5TF\n/P3AeLrVGUJRkV5MUNnojOZlAFYaNj8bj65k51cbmB6/TGwCNJ69sXArrQCmb95DdDVM+ESiSa2m\nRA0boMrJmpGYWH85Oadi1Uf+N3MvR+fdRc5Jv/ee5vpGGGFEzhrAvXU1ze+B3NxSCt31GbLWJ0Sz\nS+LD2hVqkaFSkLbiWg9rP99ATnqWbrMXzmjQUFXnNjY2obFHdl3ABJooZSX1+WDLpRiN5aRJP/Lo\no+WohmvfQJj9PUkN+zGi0xBcLskXbq+J5KiFjKqGy++9y/J1c2bX5rayFfoHDQY+jZUseKOUtK3X\niL7rfQNNVeFZWaVkZpaY1ttq+lDdVK/ZszU9377JZHUiL+GpK9Yxa/g9lgV+bsbQl7fpy9uGaIVo\nBdt+ZJtor2u/WWxc8I/sHNhmCH1b9mP/uEJ6n6hFtK9Yz1Utc9O3Th7oOSqIJyvzr2P66WsMTeMv\nnfSSo4k7uvor/T3Coxbz1MXfRs9vXNSqFmuK9spQ0oxyxGQ02eWiqst1bP56Azknt6lyt9r7sLGx\n+fmxPe2LErORfa/BWGALWgOna7vSqJMNq1xPYpTMwYNKuF2vsnblEyn07DWQdteV89BDxjYsCwNf\n0lj0Hw8dxfGArVcy84/ovX2GjmRe1yy6d5eR3Ku5ZuEDRJ+qYNwpF/Aq7oyNprOoOf09d4q1OMQk\nsMPOtzRh8rvxz9PWTySz8hJnzCjXG3kTQodb2w8/q+sSoruV06SJTFycTHxUGiPajeLIEQfX95lF\n+c50oj1Q7oTEwQ+G8E4lrq87hF27tHPK7+Avn+vbrk4M30nl+giiqqupiojiuw7teez3fg++pFNX\nyl91q4WIKxlD3XuS6VSaj+e6rlSmpPJCxSB93/hPHKhiY2NTM2yjfVGiN7JJ85Lp2XAwu0J++Ip8\nbHq6L9eLxJo1pT5RkxQefFAY9S//tIUvfc+FurZiYKi4NIS4idXr7qTpYPFQ/f35+n7xtk/iLgpS\nFKdsQlyn9WHy/bdB6hD1GlN6DWTMNaJtSlEyMzJ7djRZWaXqhkCpG1A8Y1mW+fNXek/4sfyJ6v1m\nZZXSs6eXI0ccdO8eA6lvkTbIn1s+ftk2Vsnjdfljc9ojjUWTp6CVfO3duIKY2qL4a/SGCTz92ggO\nVztJ5CPyqm9g6r130rat/xynBozkqadr6QoRm19SzqGbRhEXJ9Om2mvqv/aL0tjY2JwP7Javiwxt\n5bFSSNSypWIwAst0ApaVx8EqvbOzSygslNReZj3B27wCS6PKZGWVERfnpajIoWu5UpTZyh0SkwfL\nooALoSv+XMI6JEkySIjKIiSuzNAG4fX72p4AutS5jQVJay1ea75XY/ja2OttlQtW0EmOat7npHnJ\njOgUWj2sshI+/FCf7brxRi+RkeJ3fOAAJCXp20i0G41g96ZdY17lSjYdFO1zT342nt6NhzC4+eig\nhWjh6qzb2NgIgrV82Ub7AqWmH5TK8YWFgQRZLAzcvoFBvePs7BLy8hwWIfLg6AywoV8c/Mpqxg1B\nGi+RyA7ynJ1wP3Gv+viB8UXUc11iuleAIvc9OD97l8QhDzIiehsdnLey4sRD/sUYNMlbtZIt9dfV\ngjwNxuIsv+E0b1TMOuHimJycM7RuLdbbcMtq6nyeT0mnrtS5R987XXPteUzHBro34/lCaY8bCbU2\nBVdmhj1ExMYGu0/7oiScgRRarPq8FebPL6NbNy/7C18ULVIKIfKZxcVSjQ02hJZGvesuC6OSsBx3\nx39zxXUv8lpZZ9BMsjKOj1RlPDMzSFy2VoyI3DGDzc/MZ0RMcE1yp9PY6y44dizw+6AYo0ZxXYHJ\nhJcD9m0qihwUFcGm5FdYzANiI/Oqm2LgkvtTdZstP8Lg13Q/HujeFJSw/89RBe7KzKDuww+I38Ua\ns965jY2NwDbaNiFp1kzG4ZBZVW4IhQ8dCRkbUIq2srLKdB/62hGQRiZO/JEffpBYu9Zleq4m0qgC\nfxvZ42fEpuKyqEZk3biLZw4KIQ+vV1LHZSpe4jUf5yNV+Fuaogp2MXCsEAEJpkmuzSkrkQlr3XO9\nMYqPcrP3MdjSKM3yeOW82miH8n2BYSMjf5SP555U8+ZME1qfVpDMiCoRWrdasxbF6Ftp1GuPCZYC\n+ClE7NL/Lmqqd25jc7FgG20bHcEMx6NZQyhvBBMvW87YTZOgtJFatNXlbykUNx5Mn3h/7tVKkU1h\nyZLAA0EUr7pG4z4Nfdf/m7mPWysuJSdnHa1bwzvvOEh9NkuXk8+6pD5Do1w4KyvwRLk4FteV5Pap\n3HWFQT3NQLCohBGdMaqsoPmxfFLuT+WGG/SFZIrxC3Re40bm6e09uMdUFKcXuck5CTFfi8EcTqcU\ndM3JyYqUqzjGPOpUUJPoTU2o7tIVeY0YXnI2euc2NhcLttG+iNAOpNCGNq3y37Gx5g/iazxjmHPv\nVHKQgA3CYPsMxK4SqPWFzA2uNPXcwTztUFgrs1kUrymepaNKf6hvGpYkSRw+jNAXT9Wrts2MuI1N\nlYtEHrwyEffTY8gdUELLlkIqNDOzVL2X2FhZHc4RCG3x3KCsYbRqJVsao5oYfe37AfqNzD2UGI4y\ni8ZYDeZo1UrW5+AtCgwTEpJNa9B71OJ3cOSIuG4wj9uq2t34XipetZ3TtrEJjm20L1CMH5Qbj67k\nz19tYFGceZ6xVf5bGSyi5ZtvFBlQAIfJQOQ8lEVShb+AIju7JKDHVhPc7lK+iHqZN4o2cn+zZfxf\n8XgKMoaLli3Fs1Q40A+8Touwttmgjaq9nMe43Ke5Lth4dCXv7rJW/DIaJVdmBq3eySeNHgC6ueLF\nn/+Is0/qOTNGYiCK33ALhho2RuYeeGM+H4y5a2sJWiFtGgCNkU/ZIN6j3IUjzqpeQktFSqptrG1s\nQmAb7QsU7QelLMvs/Eo/kAL884xDzYpW2LtX21IUQAUt4zXAiTLYolGjnx46PXkS8i/dwK6Sbf5C\nuI5OYbSNcqTrsqCinsV9mNf7cmkapNbSTf1691uN4pdCwVjTmpRcdb2KCpZHunm3KkmXc67zeT4g\nDFBNjZFxw+XxiHyytqp+HMsp3vIjJ/pp70n0siclVbPy9nAHc1hLugppU7MEbmAjPzzs+7OxsTl7\nbBnTiwBlIIUWJWyascfNtILh4PpBJ+Pp9Qpve/78MvU1OoU0rbTp5n+J/ubyS2BaM+i2AFIH83yu\nm4QE709ef3p6DCNrLdc/qEihGgxx0rxkcnJK2P/EYr65YyJX5CmSqcp6BwhvHNjrecskxTnz6mWW\n1ykslDh4UHx5PPpcdURVBV27ePBEiaI6T5SLWr2C52S1qQojRvlZp1PM7TZW1TctzDeHpAvG8VyX\nddRzXcKqAWtJbp+mrlu7fs1KLN/DNm28Jgnc+HiZ3NxSVgx60fQe2XriNjbnB9vTvoAI1JvtcMgm\nJStlbKNOS1qhYKx1W5WRgnFC8jN1iBAkuTZDPD7wfgA+LvVQq9aokKcJLQMqi8I3g4QpGRthz53E\nx3vYMn4J970jPMur8jOo+4yvfWiLmyv+DtnZIykuTkaWR1DuPa1rXds6aTH/6bWIvNOv8fgn1fpL\nDx8B3kiS5/jFUHJzS7jSkKt23J1KKalE7MqnsnNX9lyfinTQX61uFFrZmygiOgAAIABJREFU/PUG\n3ZjK5PZpIfvqtcVoVREuimO7WlZ7CwMq+/L51q1/cXEyc+eWiZY8rTreXCHmEhFhXYDXpo2Xh3aZ\nuwiUCWQ2NjY/L7bRvoAI3JuN5Txjh8NhGgm5YtCLjM2oiddkzm0rDK5agdcb+lyNG4cKoUuiUr2k\nMby4EyZ1Ez8jQcE4ht+WwmW1PWruNmJFur6V65N82qemEh8vc+gQTDOouM3YOZ6CAie03wa+VH5d\nZwPOeL6Dtm/4jpJ1YfJAueqKlFT+8Z6bWQvu0hV2KTlfWZbZ/LUYHqK87999J+H9eIxPHtaPIqwi\nir0MxWjVibhnhVFVH4CiIk0PvUZX/rku63TSpkYkSWLYlUPgSxGVePKz8fS+yq9fXlPhFRsbm5ph\nG+2LBGWesdcrMbPDOp+0pSzmLGtY8t9xwOu+nwLLjPqxyG37+EfhBFrsyAq5tkA9zrprNN0lvPn0\nluKhprvUtX190Mk77wjDHxsrc1XnrkS7zO1Dhw9LJCXVgYQR0DFCbVXbtXo4fDlUt/Fw3/gBv3//\nSv8SHB6hUz50JBuPDuCP8WmWuWpZFnlx2m+zzPlazc7e9XgmuyoMkY2E5UwrWMvM6mWkbJgMCcHm\nnZslSWuO5DsH7NsnUVzs/503bSrjcPirx7vXGk3KHaOIiJB4tcNatQd+49GVvHtiAxPrL2fJf8fR\nu0loidNg2PKnNjZmbKN9EaGES5OStGIcI0iaACuHLGX9X/pz/TtlLG8xAXePE6qnmHLtQO5oNTqA\nvKVmkMf+26DX0/DeE9BuK+y5k/QM6zD7tGnlPPdcDarKSy4Hdht+Fqxd69KJtOTmjuTKZ4UXXNXl\nOipTUn25Y58B0HiW05uvI6UgRuTzNYz+sJf++m39Rvjdb6v5g3ckDoe5JMTrlZh42XJyTuqV4wqH\nSLRuLSNJwYZu+OeC0/Hf5JxURnn6Hg4471xUg//UfukWLWSKiiR69AihQY+/P9sfgo+B1C3Qfps6\n1zsnJ4JZGVPJzS21HLYSygDXVNXPxuZiwDbaFzsF43guYTiNXs3g4VX7kSoqSHRkQ6mM22ekCmOq\niYsz56aVIrUHH/QbQXbeAzhg570E89BPn65p6NR4fODXHzokcbjRKF7r6GVvxWv84c0hLPnvOHo2\nGgLco3u9JEmQsALqFfkK1GSoc5zT33SBmJNi4zJ8hCZMDg91mM+d65Pp2XAICYwhNtZvfKqrLfLv\nY3uSsiGO7c0W88zB8TSIbkhSo376trIQ7WlnOwIzUI+01bSymmDuwQ++ZtsA29icG2yjfQERjoiF\nFZIk4dRIekZ7ZRKLUadkzbxmmWV+Uh/W1vRv634+R9T5RvdjfOej/G1QKSkpZq9QDBGRIXUztN+q\nFp19/70ETNWtTZZ9LUyX70b15PcNgNeWoaYHvJG68w/NFmHznA8jIEN/vqysUsMI0VSodxTab1bn\nafdt2Y85V6+lZ0U9S9W1zMwS/u+7ZHJOai9q9Mb912vRwiz8og0tK4NGavXqSlWqCOdb/a0o094C\np0T84jbFxRLt28v65yxbAI1jO7UCOTY2NjXFbvm6gDC2CintQuHwTYuulCNCzOUOiTxNdPfJz8bT\nsqWX3NwS9ctKfOXskA3frZAg7wFhTGd/T0dnP4bH3RNe/7GGL5/OxGhge/SQ2T5lsf6l+/uLinjX\nafG9tBFJjfpRkPaF/rhA3m/BOGGsKi6BjE2w4n31qbQCWPd2Y6IylWpr/euffbaMXr1kRnQaQt+W\n/dh7dxFd6txmqYGu5fBhfTuX4tku7L6e2Kcf4PJXl1J3+gO4MkWFv/FvJa9yJWO2jaCkSt/6p5Kw\nXDzuaw185/uVhhVoWgBnfy++G9dsOMfGo8Zz2NjYhML2tC8yAoZLB4zkqadricrk5hW4Y07AbFGo\nNezKwURESDqxFmVIyNl61O3aeU3ymZNuGsjYzmlUVooJYZ995vC3gmny0HueeJ09muvOn19Gs2Yy\nR49qp4oF8/z8rz10CB7ZYcgx93paFL0pod59A3nm2iymv2+Q9hw6krSMYUIG1aSRLumOA2GwF2+C\naI+b6yLXkkYtU1GZwyEMbmLUaEb0E8VeC5LWkjTNelSfsc5AmeuttIJpe7udlfpBHIo3LsuymPV9\nchvbj4gcepcuHqY/MgJJkqislEl7XS+osruqGlkeqbazib+pEVRXD+fY7Q6aNVvjaxsTIz8PHcIk\nyvLut9U8IAuBH6uis7i4s4sc2dhcyNhG+yJD8bC0H5LKaEe1MrkQyBAGeXrzdbSsBQcP+jSr94ke\n4+nxyyA1RaMmFj4zZpTTpYuHpOi15JzyF3h97aqmZcuRvPuuUzcn249k+C7o1k0IgWRmOvXH6sLU\n5tyxX3t7uFBYU47bf5vaaw4wq+sS4uMdDPQMobQMNRedlt2ExUxRFcoAPJ5h/v5nzToSEjz8X91G\nRHvE2MmIKvPIUUA3yjQ7u4T27WVat7ae123Fzp0OXdpC29tdHSmGopw6KKl5bTXP7MrS5aPvb+ZP\nibRogSlfrU2ZGGVKO3RQBHX8j7VuDdunLFZTBAArBvp10e2ct41NeEhyTYfunmdOnjzzSy/hguTg\nQfOHpBbt8AvFsOTknOHJvcPZfmSbelxSo348l7BO7cc2Go1grMg4phM5OTC+iJNHLw26LisyMkpp\n3VoO8DqZSZMqePFFFyFb15AAL/FPDOSgc6v6zO+a92PNYNEDXl0tc+SIA1mWaflMOs3+41eae56p\n3MdCy7NnZpbQ/9vV6phOT5SLsZWLg04wy8oqpU8fYQCtfl9Cjzz0e231u1Q8WHFOWYSttRru+waq\nUYnnnivl37WGig2Wj1ta9GP1wLVh92LLssyoLSN0fzt9W/ZTe+sPHpRY2H29bp220ba5WGnUyDqy\nBranbaMhI6MUpxPqvrqa3pl/0HmQbsbg9Zp7jGdevQyv19/X6w1btdRcZT31zQn8ue26Gq5a5rPP\nHMTFVQd4XqJjRy8gWRov7XECBwc36T3vG64aoBonbZrA9buuyK+LfvBQc78lSdIJslR27sqAJsNw\n31XD29XQrFl4Bi1Qb7dmdUGjEtOmxfDYuiHExOjFeWoiniJJkqXAj3KOhltWs5gHdH9zMDTs89vY\nXCzYRttGpXVrUZT0/dKdOo1rJYx79CjM3K/P//ZdNDng3GmFCRN+ZOlS4/xsvaGIn55C6x+HsHlz\nDf4kfTnx2fNWs61BighzG9XOZpTToIFsGrYBBDZkmvw5GRvpNKiMgwf9wiVKcd+ZO1PZ8xXU+vRj\n5n54Y1DDWFwsUVkJaARZbqr0kpVVyrFjkqXHfOyYpM4kt5IrjY3153y188/PCsM9G3+fg5uP5oE2\nIv9snBoWLorAj/EcrswMmq76h+lvTpliZtXfXXtdhj3G0+aixDbaFyHK1KhA/LddV8q3u4lG70FK\nkkT/ViKvO/PqZTyyYwK7QlQ1AxYG24fGUBx8egsHa1TUpp82tasE6OjQSI2KcymFbAsMwzas8sl6\n/PlzbX5dqzz20UcOHlw4Ofgafe1N6em1iY31h7s9HvjwQ0dQQ2s05Nprw09TB/voIwfXXec16L5b\n1wwoKEbWymCHq15mPIcyLU2qqFDfLU+Ui36PXEsdY94dAJn9T7xIE0Vbfo2oEbANt83Fgm20L0IO\nHzZ7ZVlZpWpl7pFeo3h+YS1TKDk2VqaFczTp906lLxKwhUAf8EpLWGjvL7ihCPo6o5iHRmrUWCCn\nLcgKFcoORqj7UY2goTJeRBX81edWvwOAuXPLaN5cFAoai/GCqZ4pFdwej3VdgTH/HSwX/sijZfx9\nTm1q0h2gGFdtCuKe3KEhc9LaaWkSUNXhCsrv/SOXWBlh33vq2t1Apy2vrYi3sbnQ+UWM9qlTp+jf\nvz8LFiwgMfHsPjxtzi0tWvi9othY2TIP6veaQhtarUqYHq24xk8RYLFo6WprNQdbXEM3bMMyp/3T\nSeNlkt//kKMk4baYOV1cnIzHQ1DvuHlzmT59vGpYPFyUCu6DB82h9qysUmJjwyzoSljOB83Xsv19\n3zCQxn798FDetNW8b+7Xt5cZX1ttmJZWfu8fAxhgf2Tl8QJY7IRoDzpteRubi4FfxGg/88wzxMXF\nhT7Q5hehVSuZjIxSvvlG4tQp8UHbqZPXQroyOP7GBJ+B1nifVz6RwpfrzTno8DEUTxmkRq2ET0IX\nZJ09qsH6sILlkSsZ5vk7t6Opxl6/mvSMGGJjRYg72HsZKn3hyszAkZ/PF3W6cqSXX142KcmDx2Pe\nEHk86AaAWJGVVUpcnJdpBWv9mudATG3UXLZVBbu2wts477vO5/mAMMABW7oM09IAYqanW+Sq/ZEV\nRanvX/XSkLrdaHvZNhcV591o5+bmEhMTQ/v27UMfbPOLUFQkBeiTJmwltJWfu/m8+jXR/zt0JOy5\nAzq+qnqfX1YjKrQNQzCCV3gbUHPiZqnRQLKfPwczZpQTO9tvsCKqKqgqngsdzetRQuKB3sfYWOEt\nG0Pnc+eW4fHAD//KoPXfH8BZWcE1uHl+oU+gJWE5XUau4/5m5v75QL9LLSL0Divj9N0BD7dZytdf\nixa3YJ0BHo85BXG6Y1cuC3ll1Glpuvy2L1fdangqubklyLLMtAK/tKs7AY63/JZVA+46D79hG5tf\nD+dVxrSyspLnn3+eBx988Hxe1saAkv/UfoWrNOXxCIOjDAuxRubF9zf7hVPabyZpwjremLxIf5jB\nG1a81Xt5gcVMJo2XdYc/+mi5+VIJK4TU6P7bxLztzf+yltDUrA1g9eoSMjKCb0CyskrD2qR07uwl\nj0S/DCwuvNf0JqlRv4CSnrGxcsBz79xp/m/50EO16dGjDtue/hRnpbHKWoSOd5Vs5e2sWBbs20ya\n65+Eo++9Zk0p2dkiF37gAIzeoO8OuHXjdXTvXU3SgrtY9YU76LncjGEyi3ieqUxmEcf7jeTgQYkD\nB5TIQQ3y2xUVRD//D2qvyyA+XqZtW1Rp1wPji+jbsl+N285sbC4EfjZPe926daxbp++57dmzJ8OH\nD6devXo/12VtwsCoYGUkWOjW6LVZC3yYi8T+0mkpf/k8+EhKY3jVWOE9Z45xlKemglwRBmm3FTI2\nYLkf1YTn536Twm0tB+Of+qUnK6uUnj29YU/DMubM70kbynOyTFJF3YAev9FwK3nnYEVi1gV14v1O\nu+1Sn0wqjGMvsDJktGL3bgfg5a67FHU4MWv8b9e9yOPfJPjkXIW/vOOMB5iiuxcljO/1AgnLcXf8\nN25f8V1Fbjlrs1z+grzUwb4IgIiueL2if16WxYhPXX4biNz7FREPPwAIbzxQy5iNzcXEeVVES0lJ\n8f1HhcLCQurXr88///lP2rVrF/A1tiLa+eedd4K3ImlRct9a+c2AClt77iBp/DpmXrOMJ3ePp3nJ\n7ax9dKp6iLaQqRwXkxGKYXpZUAOuH/TFZ7O/F4M6TJjXlBBzGwUPW1fAK7naUMpxSpGXcQa1Er1Q\nJGKtqvWNj+lVygKTxsvc0+VDFu5SesPFvS3Yt5l78/3HPc8U7uOFoOeyxpcTd32vGmyArb2Pconr\nEsv7mTevlPT8ZMPvfID43n6L+lALVydi6zYjqeGtvHz47zzU7RHeLtzOwDZDSO2Yhiszg+jn/0Hk\n3q/U15TdPYHSZ+adxX3Y2Pw2+dUoomVmZqr/fvTRR7njjjuCGmyb848syz6PT1/MtGZNKQ6HueUp\noEa4lcJWwTiGVabQt2cM8DpprGQB96j5a6O32mX+cAY1K6WoKJBHFd5QEHVN61fpjFDBnzJNx61Z\nI1rflHSBdsDKoUPmXH9srEybNl4176p4f0pVdXy8bDmkpaZFfVrcjKFf+jAGRcIgfOIsK+8kz1XE\nOPb6Nj2R5HED4Jd5DV+AxRfKHqqfof5Y/gQWJK0lNtb8ipMnHRYteNWwYQmkt1QfurxOY3JPvUHu\nKVE0OOODaepzd10xyq8ap+S27epwGxsddp+2jUrGnsDDQELlvB99tFwfvg6gsJWeLoxGGistFcq0\nxtsdtPTBt6nYc4f4McBQEIB588pId6+Bmx/Tn8LCwLdq5e+FtmpTMrKpeCUf79/Agj5LGbtpAtdE\n3k6fS0dTWChx+eXCcGtbvBRjfuCA4T6Un4wV92AZaXA4UOdoHzwowYPjcDMWWEkiH5HHDer7qCjd\n1QwJShuJOoEXd8KkbuwquJykaXUtc/GzZ9eC1OH6B9u+oRrstAJILIZTHb5hh8U+/YVb/MNDKgwV\n5XZ1uI2Nn1/MaM+ZM+eXuvRFQbgKVQqyLLP56w1sP+IfzwiohrewUFJzsFaym+Z8M1j3cwtjlMhH\nNVQo06AVLun4qjDcFZcEzB03aOCl452vsMfzrfpYPUcjTu+5w3S8x4NOOjS4Zyrz/skN5JzaRoeX\nRMV1zr4IFmXo875acnNLyKtcydrPN2gq68XmaOPRlew4s8HUIx0XJ5OUVKJbj+Lx5+aWaNrDJMu2\nNuV5j0d43eFUk4MMMSdFTlvxlGNOEriYzNiClyz65hEGe9mWKCKrKvnxkz0cHIjatqUw9c0Jujx1\nhUbuNRiuTCFnSlUlREbZRt7mgsf2tC9QajrqUJLMw0C2T1lMnftLOXToJ+paK2iMbV5CDuM+iiSa\nqhoqlMmmuczx8R4OFowjkKEcM6YOuDJ1odvTf9sHFeJnbZtZcfGwGtyrxIAfV5BDM/9DFv3hutX7\nNkc5J/1CMEk3VvNs52E8uXcDbxZu481Cc490TT3luXPLiI31kpJSh+Tk2uqasrNLyM4uobhYzLD2\nzyw3it5YKM757k3ZvJneJzW6Anj9hYCJxRBZVQlArWoYdjqOK2/6A3Pzn+Ghrv6cdk0LyyIzMoiZ\nLtrf1NVn2LKmNhc2ttG2AYQxmfqmvrr7mYPjWTVgLYWFZvd8/vwybrhBKSqUNIYhkNKZ3tiKj9Zr\nSPwoSRfKDY3ZmBw85BWtXwGFWqxy36MgYyNb71rCza/8gYiqCqZELefgpz8CwfTE9ef9066Jukll\nofrDi4ocTI9fJqIZPlYOWUo9l8SiFvpN0/T4ZXz9tSNohGTDBqdl//T+Oi+z/rvXTN68ch6dwbWS\nXC0YG7BewOlEp4GuxyeiU68YDtwKSByO/4yq3d8SWVmN7HLR647H6H71SMZeNRGHw8G4ThNVg63U\nBURlribi44/5pkVXTg3wr0NJ0xw+LNFgcz6XVvolUAGkygqcH+/kYLeR6rkabllN08J8PNeJ3Lg2\n7F7TiJSNzS+NbbRtgNCjE400a+bPk248uhJSt5iKzgxXMBlbd8H7uLGq9A6GlXzpG+CNgIKxjBhR\nydq1LvO1A4yevPbHnURUiQ9+Z2UF9fbkE8xoK0M71FB1kJGWViQn14bUZNJKhQeaFytCw+7+WUzZ\nbj1BLSurTL2mEf+wD/17dOm2F0gt/Iz42y7FrUt1GIvgzJEL9ViLe5s/v5zKSqGwNn9+GbIM6em1\nzee7fDewG4Cchv0ou/H3RO76mOouXan0ecEOh/DGlb8xpabC/b9+1HrkIVxVMrG4eerpWpZzwNPo\nwWLEYBtlq1gZGcE8bx5/7u2BoSNJy27C4sLV4phVK0CSkKqr8WS4KXszhzPlUSzc3gM3oxHjW1/i\nX7Gzqf3DCSrrN6EqPZ2qVNtrt/n1cF5bvs4Gu+Xr7AglORkIxTvRVkK/+abDkAeVmTu3nO7dxaf/\nE3uG81bRNv/T+wZaeJsB2sBCqJYpM76Tk2P8YewWFbh7Fqs5UyBIq5fu7jBGA9YOWsId2+4noqoC\nOcrFwUf+SbunzUZbGeRx+eUyx49LhoEeNdNTT2sxniXHVuCqlqmIkHjnoVF0/uPzzNywikXvbQ66\n+bHuizecX9s654TJg8C9Vbw/2dkl5OU59IVtFm1z8+cIhbkHH4yu0b1ZnW/v3UVcVjv470aWZUZt\nGcH2I9tYsAlD69pU7mMhYG6LW8REksjlJA3Yw5X8Ny2bP8d/rr52waoW3Hug0PKa1UhEIFNOJF/X\niaRdSQWReHR36QWquidx+rWt4d27jc054FfT8mVz/rBqMwpH9cxq/KLO2faFUh96zG9YVjy8nLfQ\n9AEZ8rrqxK85wb1S/ZhIgRKK1Q2jKHTBgfa422oODEu21FwYN2LTRNKIIpE8+k67lpP9RvJoVbmp\nsC5gn3iA81qhbDo6FB7C5SvoclXLdN7n4vBhiUWTp6KKlwS4l2bNgv8O588vI9H9IdG7fEV+HuHR\nv/l4D9bfkoPXa9FTbxEG79p1DRERUtj3Fux8970zIaQYiiRJLOizlA4vxZEXC+MKxNqD1Tuk8TKj\n8Y+QfYlxpE14HN4RKYa0AuhwoCUVFOPCQ7XTicMr45BFPiHC9zuIpoorS6os79ABROXmEPPgfZTO\nXxDme2Bj8/NhG+0LlFCqZzUhLk7ThmQRSh27aX3QvK6a/zS0gc2Y8SNXPyw86dhYMURj9mz9tT0e\n8WVSSzvQAPe+gfy1yxL+zbiw5noHQqm4zrq2lOQeoYrQgnvVVhsP0Hu/FTipIBKXrwjvUOOuFBUa\njePZ3cuDD9YmjSQ6O5cIo+cUIXgJpZ3Mon/dIgx+7JiDnj29anV6TYrz2HMnXbp4WDNsCfe+PZ6B\nbYbg8cDXX0u6wSWxsSLF4nSKtY3dLNIDSmV54hctiDjQ1yfVKn5PH33koOOOVSzgEzrwle5v4o6r\nlzPonfsAYbAXb4JoPqCCSN6kJwc98QxgC3Ec0604VAxBAiLzd4R5/zY2Py+20baxRCnQkWXZ90Hr\n+2izqii+cr36XPz0FA5aGNBWrYwVxxKzZ0eTnV2iFv1YTaJKTY0hO7uEfk9cS/UcFxFVPvnOU3dD\nxmjaDCrjn3FruWla4HBSuHzySQgpfsuCLX34unNn66ka2k2HCw9v0pO9XCGEZRaPgcXhrTE2Vmb1\n6lJGjjQaUf9mws3dQDmJXe8hL9ZnBJ/bzI1fpTKl10Bgqu54q5762NiSs974pRU4SSxoxYe7H+e7\nqyUuqfV7bvkg2XKqm5KykSSJ3o2HkPNhBKxfjXvoSKhswvLIVURU+Xv5dz0Ik/kD/aig2uGkwis2\nP1XAt2UHqERElxKLhacO4KKKpnzDjeTo8t+aOnkTWkMuA1Vdr6/x+2Bj83NgG20bSw4fluh+z1rV\nSKXd0JnEA/XJa/tfdGMjFK/a96G/7Oa1nOjkAERI3OOBykqRY7cyykVFkl/3OgDFxRLOASP57jvI\nX/ipbgJYampMyMEfAJMm/Uj9+jKXXSbzyCPWoW7roi6FIAVbhkEgVr3QRs3wlUHHhJq9eaUAzrKy\nOWE5dFwP6zNgaCrsuRN3x83+AjRQe613nPFAQpTob7fcfIjrFRdL6nWCjQmdN6+Mpk1ljh0TYXdd\nPn2VxDuDZcYm+FInFlPdFDweuNY7BjKmomweRnMzERiHo+Cfpub1sJe2dGAvkcDdXx/jwwKxScmL\nhQm7wOXbQ3XgK/XDTgK+i4ygQVW16V33AKeaNYGu/aj7yUe4Ks9QeXNfOzRu86vBNto2lsiy30hp\nB1GM/x6aNruS/3Ruyr5jJ0156RMnwtctB2VgRXD857Ou6j5xInQo+cUXa4W9JmsC9y0rPPtsGfHx\n/lnZVmNG/3RLNn99s0dggx3Am1eGiRw+LHHokKHAL/GfolpbWVu9o5D3B/HvTQt1MqJ/u24J6eUT\n2ePZGnTzYaWVbvW4vnIcRvOyP2TtlUks1gipBOlhP3xYH4JPYyW9eFd7l0RQxYf0UDc/FTi5nOPq\nh5hLhkey/VX5By6Dq74Tz0UgDLITqAaO16um3negDHT1ApU3JHH6tddx+nLvZb4vG5tfE+d1NKfN\nbwev12ek0Icaa1VDi8Iv2ed9C04394tp4B+eIQj1XRDcuw2PJk3ORwNEAJ1zzf3897/COz1+XLIc\nM+pmDJ9M/EdwD1vrzbffLH5GZudOB92716F79zpmRbOSpuafC8Yx97pMGKSfYvb0lxN4LmmJ/niD\nMbUau9qihazmuJUvo5xpGi9zE++rP1cBHU6J/LLV+wWBNdgTySNSc6wEVBPpG/+5mDfpAzhowA+6\n13X4TlSeL3kN2n/nf7waSf2wcyKMuVeCzxtAWffulPzfIs5s2GpPDrP51WMb7YsIRaJT+xXoQ/Po\nUVQjlRcrCprAX9gEiHAsEllZpeTmltCzp1eEVBOWi/Yu1w/i++1j9T8nLD+n9xWOp/3T8RVs7RsY\ncEZ2/fp+I2M1ZhTE7yDwLHL/RknFZ1CDt3kZNy0ymZmlyJ1XEt/lMIkNbub6Br8jvk4nbqw/mGk5\nE/WHD031nUOc59tvrd9Pp1PfgaDXSRf37ML/B+UAbjkMi19zkbb1GtKym7CAe3Vz0vPyHOzbJ5lC\n8HkkUoE/D+B1RtD2rs6AKEjbyxW4qNK9xoPk97rxe9EA5dQylfi5ZHivNfx+Uj1+TL7L8p5tbH5t\n2OHxiwgradNAudLmzVGrit1bV0O3m0g8Uyxy2kq405fPbtHCL7SiDaur4deSxr65zIHCsTXrc9by\n6KPlIfuWQxPo+obHAwxBUXBotsDGHHbt3l3gXf1UNHPPdU2mlmmoc1z3Y9vOx7jpJg+jt/6HgyVf\ncLDkCwC6N7yVZ5+pBYnHoKQfaQePklh6mLz6u3G7Tqvh+NmzAynLaf6GlDC+yx/Gzyvw33MVDiIR\nCeVoKhj9UQNuZLVpQEygVjolGvF/XZYTXRsqRqRySbdUWGN+fytw8gE9OUi82gImDL5DVOg74Yda\n5dQp1f+WvVFRlF7b/qwkVG1sfilso32Ro+QRjcIrTic6I+X+6FPcCSsg5t8w27rP2pWZwTUf5/N5\nq1vohF9EZf1t7zI0+0r/RbXh2DAqsgMj+/qpzcZ+7twyGjWS+fJLB5IEDRuKe0tI8HLypCZ/Guj6\nhsen9BpIn0tH66rfAxEbK5vGjLrfNYfEzT3X/varWV2X8Fj+xJAFm5SqAAAgAElEQVQKayBB3gMk\njV/LikFLyfpTf/p+exmZn/en3Znd3HEEtYJ85tXLuLXjFLh8N2kFu1m8Q6Q9xjlLYZBROc1/zVWr\nStUojfCIrYvy3AUb1XuOoEo1oJ4oF1QSckCMcRPjZgz3PD9U/bts5ZHVY0zvr+/nD+mhPgYwmmUQ\n9wEdTumb6TyXXELp03/n7uS7bINt85vCNto2IdB81GmMeOaQTFreD1BCq1YyrswM6vpmILeNlEgb\n4C9AmpzfU39K1XuEK4eu48vqYEVRAbzggMZeHNe9uwdJkhg9Wp8zz80t0ehmB6oIv9v0+O6qakbH\n6edLG1Fy6/HxQtjmyJGhpKSMIdBkLMsWM9977Lqu3ORhK3Oxq6tljh1z0KyZ1yeAMoLmzYdRPHsN\n01btJ5oKEny9TC6vECoB+HODcbB+Lcy4TFenoAiwuBOwLBY7eVJi1ChDHj1AUZ7S857Gy8RzkMva\nfsmya0sp2TyQG6veCSqY0q2bl/1PLKbO5/mUdBKa49pwvNOp3+hYTTTTXv8R5nAFX+E8LIrPtH9J\nFYNupyIl9Sy74W1sfjnsnLaNJUpfNYgCowXc48tFio+5li3RDW8oeycfqcLXh1wlM+jbOJa1LaaZ\noxOS10W3+n24pvbNcPxqjfco8Wz3pfoLG71wy1x4gIKthGXq8dMKhgtNdAMeD7pRlmlZA1mwSVMs\ntX41kyZVmnLLA35cQVWVaHEKxIkTEvv2SRw+LLHx6Er+XjQ8aB4/cBGemMVtNJ4tWsjkVa7kqQPD\nuS7pfzx1YDh5lStp1UomJ8dJ/sJP/b3gsr/dKdoDv/++KX2a3C4GpRCkTsGiWMyMdRj/uedKAb96\n3S28w5WHT1BSXYL70WlMHgTPd3EwuUWqZTFek22riX/mAS5/dSnxzzxAx52rcDhkZFl8eTxYDkfR\nsoiJFBLLCsZyFV+pWfEI37vpBYqujbdbuGx+s9ie9kWEIm0ajsKV0wk9ewrPp9WcB3QCF8oHrjZH\nrh3eUI6LTblP4c5tCqktoP3nnPxvsThxncZoK8kfztUPydB64UZv98orPXypeOEmT2+VMEi+43NO\nKk/4+n597NzpUEOwabzEYvleovP93qh76EhefHEDpA7TLetPn4yFXU7YMxSwDt/787OyGKDS3hxB\nmDHjx5AV82vWaKvw/WhnnivTwEpLwfvxGNLTY0gjkXEsJZoqKjSedrkT3mp8hsdvHIUsS7xR5KHP\niKX80XkF1xSW+AVYShqL2eSGzYK5Ol8i+ZqBZO1GvO9je0G9IiodpyE1mcQ3Sok+5QuFV/u9ePHl\nhX3fQoZ/UzJ3bhlNmsh4Vvg3flJFBZuzHuef0jr+v70zj4uqXv/4+wxbCGouqLkr5loahOGWZWmm\nJt1ChRAol3JJ86a2esvbZtl629NQy1EUyfyl5ZKVSwZiBmamZaKCYppYpqCyzJzfH2fmzDkzAy6V\nOPq8X6/7opk5y3cOXp7v9/k+z+ejoFBYcpDeoWOZMXos7jg93js+2I9erK909WwBttQupYtBW18Q\nfAkJ2pcQToWrM9Ul9/ODhvs26y5YwZTw4h0bGPtwLM2bqyZLQ2cgn9T9G175prtrJbV4PjxWy3XR\n0N80YQ+H//X2xYM10Q1veuRugTmx2mwedyY43Vd6w27Qgo6BJzvM4la3P+HGPdNoNhFsd+hP2zTZ\nTGv1OwGLS9rTUqa5iOnmJEqFAiEuPCcVSWkDiOZ+In/vxPOnsf48eFDh4EHP6x84YPHwPM+YlEZG\niTYBs5IMXV4lunyrvnIeWHgFaxse5/fY2wkIsDCxVxIPlCeSl2eh8YQd3LLGdS3e/Fn3GAdXn3nL\nDZ2A+9CTyxFz2Om3lOeuncUUErX3GvzA48caQms4ZLua8o8d6nX+hlW8k8VW0/NzTnZMEz+Lwsq6\nv7PpyFf6cbkH/wsRQZAzQn/vtddO0L27neD0VC6vIGDb0Xq0A9AmMNEDH5SALfgs4vIlVIpxr1oN\nCuL4S6/rPsTr13sKqZiLibw4ewE8/4cpOHjft/Zy7s4BPNpsES88X81zT7v+FqhZYLpN1zp9mRD2\nEfHx5op5Jyb1LoIYxXsOCVDDuIKOeThgnZGbmGHsSTkwY5lCsF2lPCCI4WUzzsI/3MXChUXMOjmI\n1XkVOKpFzIYOadokw8HKG/dTPaA6FotFb+8rKHD4n7s938jQW5l0RTq//Wahy89WOs+egF9pCWWB\n/rwQ15YuI1fwyKaR5OQegAY/uMawq6+H41pSyf9pBWHXr2bezbmoxpR7Je5uuiCN39VYn/BcVXs7\nNzOziI4zHqTaB66tFhWwV69BeadOvN7mD7YVbtNFVw7+q+9pDUwEoSoRly/hnClxeB/7Z2+mPDJK\nf+2uYOUdRUu3NvxWW2E7iU10+8Pr/tPBjjsB1SHPqa3CX0h1TAhM7VdLIbG/OWgXh9GxQYzWuuYV\nZ4W3ytDwTObndvMeSM+lBctQBc7i+UQ36UiwXbOH9C/TshWjJsVSUKCwZYvljAVmGjeGAbYYiou1\nFbY5M6FqUqaGgA1w68xRFY/XzSgke8edDM3RJji/3rEZv1ItwxJQWk7tHdtcq/LqYW4Xcpv3xw7F\nmrpMW/k3GQjscn1WQQreiVZIlgxxt3l/CG6rdNBqFOo2iaJFoBW/Upe2uKW0hJIhQwnqZOPg7qXc\n2juFT07jEy8IFzqy0hbOCW9+3WlpxXTpYuebbywcOqRgt2uVx1uUD1iZ95lr33nHnbyWHE9YmOpZ\nlQwVVIbfg7Yj6a2XW4UxV0P9H11vHWoP724jNfWEp4JYxGzCb0sn98WFFbaZzZtXTEAALN4zl0Vb\nK/e4hop8rrWxbhwzg6hZ2qrVFhjEnkde1yujc3MVevTwnglwJy2tmJ497axbpziyB3bzM3HzsY6u\nczNZsxNO00LnvTp/5V0zufmjB3SDllG3l7j689052FFTxzNMrvR7uo3p7l9/5cMZDU7/ZSNmQ5dX\nzb9ToKWtL7ufWUFFq/SHeImrcZ1z4p6RFL/4qlefeEG4UJGVtlApTkcvI96MKZx/8EpKVDZudHet\n0PqTDxxQUBTcApinT/SDOVrBlSde2rBq7DMYYngLnCrUzDdfpuY+vFdBa9fP9atcezs8XBOM6dkz\nkX/vSUQZr5CXt5D4VO8B1rvPtXa98qFD2VMXVj3zPVml0VifuRuecfXGn2lxYFxcCJmZRVr2wGNi\nc4dWK2DAoviZZGa94z3LceuC+0giiGg2ktUlA2vEVvNpu/pAerrew35DjUTuSq0OqZ+gCYU6nodb\npsL+fV/eohtZdKl8iyBnmPY7NwbtorqU1y6AiDn679+bvvucwFHaijsoiPLIKO3befGJFwRfRIK2\nUKFSWqNGmi1no0Yqy3+dy9rfljJnQAp3fXQv2fMH415Fre2VVhR4PIODxWvDoZfK8KIG0Hp5JUHW\nAl9OgwHjXZ9/OQ2weDpiea08d7WZGRXiVFXFz09xWEeax+7EGTSu+b4TmZlDyciweKh8ZWVZaHxV\nIuO8FKCd3v7SvBLOz1do2NDupb9c1dPdc26byfxTw4kKiSHzNP3uCxYUU2vpfHYt2GIKfADWCBvW\ndvvgl5FQPpmkH0r1feHvOvsx8nl/II3ylh/y5s7B0Pk2uOEZWPcEXLmSpA31if68mKzdHbHmrCcp\noiczNu4gmK0MZ452D5K9PldtiyFW+09LuZb2Dy0kv7SQbiMX8UCdIXwWv1ivSTB2Njz5yCka7jNv\n5wjCxYIEbcEr5uDrbGFaRZsPHPuabjaLjz128rQ9tGeGl8pw9z/qi+e7tU6pcOVK8zFXroRv7z+j\n6ydF9CR6o7b6a9pUU+Cav30uy/cs452b32fsl/fSv8VA4tsks3BhkV7YZixksz1voca2DHKHvONx\nx4qkOvfs0bTf/fy0bEdaWjENGmgTpUOHFDJPfciiH8zbCnFxw7X+efeJh8WGM5MxLFUhIyMdu13h\nBTCtyiOejadf84EMbJwMQO1l82myYAJ9cW/pM2Q8Wn+mFdM5nN6GZyuMymnIxPwQQCXy5WVkF62C\nAY5itAHjteP3a8V3wwuDgP8jemM3gtFW7MGUMKHbGrbdsZCcVE+fbcBVt+AoBkzKgeTvoVvD4xy4\neT6FfO9VZa2w/1BqhkuwFi5OJGgLZ0Dlq1P4e9y69HvtuJPISBvTolJ47NsRHGlfQH6p4ZDYoTz/\n/DL9ZVraCb44MoD3N2Dae54374SXfmft+km79xG9qTNhESv51/fbCWQrowPnkLvsFP+LsPHuL0/x\nR+lhrpzdFICc37K5rWUMbxy5FyKGQM5wkymIn2qnztL51K7WHa096vR47LWjpcybNbOR8FI63DwV\nWh82tMypkDOM+vXtRDwbR45xd6HVKrA7J1LaNoaWZTBvN+QUQ90ilQktE1EUBduOzRXIi5p/5yYF\nNbtKdH6Qw1ddYXzDWQzbae7rii7A1U5HiZZmpwvDmaNV6/vB62EfklMM3UaqvHTNIFTVomd2nBMZ\nVVV5ZGsc4Z/D+0s10Rj2ZtAyaxP+3MNJgvTq/6ixnchMKvLavigIFwuiiCacAae3pTxb0tKK6d7d\n7tXikZzhvNVtEZHta7AyeRGJV46p1F2rUSOV9iV3a/vlJTW1nznD+fFHi96TnplZxIYN2r1+7lfG\nnOyfud8+i8E5vxJYXg6AX2kJq6dtYdqS5fxRetg0pMKTWgDPOLxKt8vMIpoyw/+FArAR/P135/xM\nAJ79YTQD1obD1akQah4DlnKImMOhQxZyUofArls8Pw86BgkDWbZ/rqPFS/FQd3u3d4q+t1t0VRQn\nCQLc5UXNv/OsRnDSohiOu87xiZ0Xc119096OL8FCm3qLwO8Ec1uG8cNlDZh7tUvm9u1bX+W/O4ew\n2TaXXr3stG6t1RO0bq3Spg0MuSqGQceaaAHb+VVt5dx+BxQ88ToH7xhJwROv0+yJBMLDPWsxBOFi\nQlbagklsxXtBlOLRHuQMnI89dvK0q+xXXjnhkSJu2lQlMFC7tzM17KRRI5UWLRx3VhQGNk5mWqpD\n2cxL+9K331ocdpLmffPnnw8mJsZshNK6tUrIClc7k2K3o1osKHY7tsAgskq7wOLnzYIw7hh0truz\ngeHMIQAbJwli9o5ulT6LyrGTUfg5R8sKoeVXnh+3+hzsAajqEEeh1seenztWxivzbNTOc6S53SZc\nyZ+M5OXIdFq0gML+Q3n6mcs8irnMv/N5WGMToXE9ovMvI6tpCdYeH8HiOyB2KDs214eQASRlXk7P\nsMWEXHs7CSFF0Lg+yfl7uJ419P7td65XxsJeTaWt1Q/wTTMtcEdYOwDaqvqutokexWIJ7ZIIvMOC\nun4ciqPZXPX3p1qvKPziE4AETtc5LwgXCxK0BVMxlFNz3EM0JTkeVY1jYmqIKXBec83pN7ILCyuu\n2N2717PlKTOzyLRa0iYVxRVWWJ+1NWdZqaksqzS6C+Wt27MtJArrO8kQO9B8fHkg+Bvy84Ze7dG8\nb3KWqqgi+rXXTtCwoaqJmngzQAHAwpwu6/jX+vaeF3AwLep97HbHBMU4kRocZxI4yZ6ykGyHUpr7\nhCvjkzvpNq4669Zpz/maVwYzbtLdusa8/j2cBiyxiXrgtjqr1I1FcKeqk7SuCTPydhC8R6V8czph\n9p7MpSc/E0Rv1gCO1LZj/hRsg+jlSVgjrPqYjxfbmL99Hokdkjy+d0lcAsdRCFqkTZhKhiSYisxU\nVcVuV9izx1wh7q0LQhB8GQnaggmn5rj7ytsYGFNTT+h/CMPCNLvE+vW1P47exEKMr43V2WeCt3a0\nv4LNBsdOBOL8NgpQ3ro9P4x+zVVBb1hhJkXcQPTBErIaBGHNWe/VktSb25Q7nTvb2VQ2l25vL+Wp\nq2cx9YcR9Kwbw22NkvVnabfbuf3rG8wnlgeAf5n+8vHN97q02XOG6XvYEZ0w73EbRWAq8AFfudJP\n/90Yi+pcBWnJhgBtyDwsnmd+fdlxosu2E+yYv/nb7fRmLd3JZC6JnLRoBWkmPXSCyLp2i+mrZh35\nktLN/sS3SXS4l2mk7rDy2e6lvHtHCmOqL2FAyxgS2iV4fP5w+Cz6vDfK1BLobjkrCL6OBG3Bg9O1\nIR06pJz96tZB06aqfm2z45YnFUmlng35+YpptbV3r8I7S8zmJr82jTKf5AhyScxlxsaftUC2V6uA\ntp5WDc07eXnw0dGlZBxeRZ+vNJm2kGrw4JWudLCqQu99t/DF3lWsHryOGxf05M+8Nprk6+L5egU5\nKIye8S5byz/RJwBllj+paw9j9aC13JR2I38UhxnG6b3dyziZMhbVmQrSfrnVJHVav81uDg1zm1ig\n7WGP/A7TvnMwJZQTyNzLe9CtPJuM47F8c90WonfVJqvwHqwlNthlll3N+c9C8npYaNnSjqIoBC6c\nT4slL9Cgxj5a5bl00p1pdKOJyuq8xlCBJ7ggXCxIIZpw1pxrwAbYuNHCmjUWSktPL4WqfW7QMXdg\ntgo1069fqel1XFyIx0rdyt2MYgZvM4ZRzCD7qkQvkwfFayDzFgheeaViu04nQ4eGkjExzfTeOze/\nj6IolJbCk0vm0c8aR1/7izS2RPL8xmnUvawBlFXXTEuG3aAJqDhS1lvLPtEnABmHV7Hrj1wKTx4m\nwtpBK6ILOaw9swrtTc1kEW0qSGt11zWAXeu7NnBI3aG9v7O/piHvMGmxRsDXzczXLMOCP2Uk/76J\nq48Vk6ymwcYHGVe4xpF+Hwb2APNJ49twvPQoicuHkP3a/dR46N/ErNnHDIN96lu9Uti920JursLu\n3RYeDp9lvoYXT3BBuFiQlbbwt/Paayfo0sXudQ/aGfCdaXJ30tKK9dT5sv1ztf5wQ/FbUo4fswNG\n4V9Wwn3+s6EcU2p6xYpAj2saA/KePdp/G1Pa1jjv3yOLaIYzW1+RR47qxGttPeVKo6PtJtc073vv\nngVhXRdcy7w/+tJi82UUF20i+9ateutUbm5djtsLoZVBEczgjnZv7dlkFLrarP549SsYd7X+evXo\nGVw2pohR69LZXu6u/nYP7vN157Nw7s33GziIDfefYPG+h3nt58nmrzJnA5TUABRNxCb6DShqwNwr\nDtB93zaCbVCGH7O5h3IC3CY+mxymLI5V/447tGsungfj20Dob7rG+biNTXSrzmCby+Jz2Gcjybjf\nKWWqQkK8a4UNZ6gPLwi+iQRtoVKcleU2m9mLWsN72rVhQ9VkAZqZqTBxYojHcd5o2lRLZauqytrf\nlkLrVWY97ZwmulVoQLmxr7hizjW97h7IbrtpEA/GeWYZjNsJQQtTab5mM0n0cBuXp3lKv4zD3Lh8\nPkFlKjMIgvquNqgHQzbw9PG2pvusHj2D0PHFqKrK5Gw3MRJDwAZ4MXcEH/ZdxEP73HqoP30HEmK8\naqibJjIJkJFxnKwjqz0fTGwCpH6q/XfOCH31b0UBPiCabx0V5gdJShvAcFXb09ZbyowSrO2WaM+l\n5HLNGtSwVx498EHUjMdQSkooCVAYlPAKn9RaRefQGDKMnQI77qRb93LmDEhh2GcjubFDfwaO1zb4\npWdbuNiQoC1UijMg5ea67WM7/vA+G/k+/8m+1xQEnIImfn6QVTqXefZlEFSxOYc3FEWhS50+Wl+0\nk19uJWpsAGpKEIrDfCOrNLrii5wzrsmIMZBFFDgrvdyMOhw4bUxrlJQwwyE9YgrcOSNge6wemKIL\nIKjMIEBS4AraLx/v7jGqqVtH8FLEIlq2VLixIIaMDH8tCE905aVzkn7k4fUTGdAyhr17FYZ9ep95\nFaofq55231dRFHqGxZCx7VdNShYFQn91yIsazouYQ7s703k4fBZvHljEZdUGYt2wHFp/hvWJzyBH\n8yrP2vWUo7htoJsEK9pYYhNN90+qtYr0l/5HQPZ3lEVeiyV+KPPUEezebWGa8cCc4bwcMZha1WDJ\nIKflpgRr4eJEgrZwDrhUtv5T1NBr8U9urlYktGjbUk3i0kM33Nwf7sS5MrLb7czdO9302eX/eoom\n9+zieFvNKnR/wyis0ypeZXt33joNEbOJHJrOtKgUHt88kuuqx3BDjWTuejGNiZs/hs63mvS1R98w\ngObNE7HZ4MSazdQocaWCX/jXBkZNjtVVvlRVZULWXWQ7vnJWIxieo6V+T/pBlv/V8PzXMKwnfvWO\n0Lx6W/4oPcyfhUEQdJyMD2+je0YCj9/R39G7PlpbNRt4eP1ErP3SsFi0PV+9Et4tuGOxmYw3vJGf\nr1D/wD3w3hi3T4yBXvu3sMO2Ul/R166t8vmoFD3NbY2AGwZl0M/vcvpRTAkzGbazEUk52sQlK2cA\nViz6inluTApjHBaape2GUhrv2laoyPDDGajFEES42BFrTsEDb21WNhvmfmo3y8XVN+0nNKCm57Fu\nx6WEF3C88HIiI+0EOrafmzRR2btXoaDArHK27uR7TPnmIf29trXacV/HcXS9TNPN3rNH8ZACffTR\nk3TsaNf3y8/E9jItrZjIbfMI2baZlNCNPBm+Tf+sT7O+/Lf1Irq/nWCqonbSrW5flgxeRG6uwrvd\nPtbbpk4SRMETr1NzvKs1KTdXoevYRdqExxFE9cD107NYR78Ov/SHkELzvYrCTOpokaG38klcGnl5\nFub9aGXT8aWMbziL938fzqAOMXqfs8s+1a4VobVebh78zgF/z96v2+/4l+H5jP3yXlbnubIkdYPD\nyIjfzNgv7+VAUQHXfvmjrmV+0qIwyj4bK/eQkXGcVq2o1ELzTF3pBMFXEWtO4azw5vr12mvGCmnP\noqoXc0cwr7+WmszNVSo8bvafw8l40FBEhMLLLxczebJn4VbXt8z7qT/9sYOPflzKxHHOlZ/nH/Xb\nb7fp+8uucXhaOC5Y4Cp4a5s1n5ovTkApKWFKYCC/9HOlqd/tncLh/RZP7XUHAUFlHC89xuSckWRE\nDIGcGfp9xvaPpaZ7mjZnuFYI5lghWyMc97rtP9rnV66AN3+Cx2q7zpn5LUxsrr/MnrKQ/d01B7P3\nRmm2p8NQgBW8klmMZ2rYoqW0nW5ZTrxUWVeWnfBmg+ntd+w0WAF4+6aZdFsYReHJw7Seo630QwNC\n+c+RWgTb/gAcWuaOArU6n6Zi27GZoquiKOyvXdc9IJ/eGU0QLl6k5Us4Ix58sJohcDvSrjsHMKd1\nAd3C+tI5NIbduy0OvWs8jlt90376NOvL1f4x2vsRs/RWpMnZcV5akRR61b+dG5vcZHq3XC3T9bW1\nc8x/vG02LVjn5moOWgsWFPNZ3ExmMIr7eZcZjCKJD2nc2E54uErLlnYCt2zWq5QtpZr9pJMxX4zE\nbrd7cR7TWFfwFa1mNdE1ya0kMY53sKKtdr0nsiz6c+GtH8wfzdwEsW6KYA9caX4dO5TyctVQFe/6\nmZ+vmL6/U2/da3uVF/14777gqi6+YnyG+r133Em3un3ZNWIffZr1ZUDLGIZv9eel/zvBkqcHsOpO\nsyRrUVkRea2vQA3UWsxsgUH0faITvzwxg/CXJ9BgSQqNnpnAO10X07Vr6N8qriMIvo6stIVzwyFA\nMixVW+FloDANPPaoncf9fvsJokIG8knBMghKgJsf16qoK/TIhg6lyaz4fanpcpuOfOU6x1IO7RZr\nq0jH3qxnhTvs7POtue2o7gdMyFrIdDWFqT+M4In69egbFIRSUkJZoD/Fndqya8QKfV+1ZUuFx+/o\nz8o8G9lpA1x72m0+NUmH8sut2gr6F23fe+aWR/g5+3MGtY/xlObMGQ45d8Pkhub377sOvnwOGm5y\npcSdimi7bgG7P+y4k337LG5bA1rWwiWTqpGZWeRqrdtxp3bc4lSvym7gnGQYAnfEHCY3+R/JS8sq\ncAPTvsv0ToOpEQQf9l1E8bsLCJk+gU6lJbT2g1GFV4Mjc+HcDvi1pcr6e17gwJZX+aNZL67qPZTW\n/3tQ14T3uIcgCIAEbeEs8Eybuq/0NJo0UU0GIAcOOIJJwgpovdK7GYeXVO3QoaGaDWY7f6/62s7/\nbt/eznZHwPeW2t1VpzONDQpoWa1+J7toq65M9kzTvnR1VCmXR0ZxT9xdKIrC7N6LyMjwY/1B6MTd\n1LXcTfa3IfDtWG2sV64w3afWHU9rwiaO/eg5hyZpH2yHoe0Tad4cT2OWX/rDlcu1FfZ912mvc0bC\n9kGezyl9kd4ffeiQYbvC2ELlpULf1O/e7mNov9hjLzstrZgcPmRK/jt0eqkBAH+UH2LIlt95+qMD\nBOOqlT9pUchqXAL5riFosqMqeXkWvnvme+7H1V+d/L0WqP3LIfkHxz52zg5G3fYg1v7AziNwQwhJ\n9GB2gBX/shI3xzFBEJxI0BY8qMg05EzIz1cqNPaoaF8YqFgQQ9fNRvOL9sKrPVK4tZJiqv4L7yOJ\nINd+bM6/4FbXOO6tNZsdLWpA50Rt/9RxqYwMvwqegWNXydH6tHr0DF7MHcFNTfvw2NeTPY5+6upZ\nur+10Zjl8fR3WHvoV0Zc/h0vP3QvOz5+TgvY3qxQTc8I6td3robNftk6jkmMqqpsOu7Z764/UwdN\nmtj5X/Yn5Bb/CLgEXaLyGuk+2grwQxi81E3FGnIIUr333RtFaUoscH0e9N4LZQoEGA1DnC1uBte0\nMcNPkT3je9O+uXnLRRAubWRPW/DAaBqSmVnkVoSm8dprJ5g3r9jj/bi4kAoCnZdAVFRPk8L08MhW\n3X46Xa1iiQjp67HP/fSPIzhdX66Vux17zcke4xj26X107RpC166hrF9v0feDvXHffadc98oZBqnL\nCA2oibVfGl/lexEiAab+MELbF8e1x22xqHxbtJSMwlWM2NWEHbaV0O7/cCmFxcLBjrCrr5YWP9jR\n9IxchVmKh1+2MWsx94d5lNu19HpSDrz1KSSlDdA/T0srJjOziBYt4OmOnhKnnymXc9Jxr5N+8FI3\nc6D1hiYT+x5vd6jN101deuQBqqaU5rxWllPzxbC3ntnaWZJ1ZUgAACAASURBVBMgaXFB8MZ5D9qz\nZs3i9ttvJzY2lq1bt57v2wtniHNVGB6uei1OatjwbFtsXEVpPH9U+/nlNE0JK3WZK51bmVZ2znAm\nN0ynW41YutTuw5zWBUSG3spVfrdz5m1LChSHaROGV/O0nwZzjbi4kEqLn2Z+m+o2vjkAWCwWBrSM\noVtYX/jsTe26n70JOwdQK6AuSSviOFbyJ4nLh5C6w4qiKLzbO8V07dWjZ5CZqQXRDW8O4euhG8gY\nm87C2xbDe1tcVplAw4Z2MjKOk5FxnK6vDDEPUg+CKu+t+5S1+78iKQdmfAr3b4YZ6v0k8YF+ePPm\nKhaLypNbPXu2rZ38GNX5at6+sjGjbnNV1RsDrVF6Vj+Pexi3azdzO+EK+gQxm2G8XfdGRnXuiHXl\nUY8Jm7vvOiCtXIJg4Lymx3/55Rc+++wzFi9ezM8//8yXX35Jx44dz+cQhHPAqXBmxLwS9S5nakTT\nGh9CZqanJ/drr52kSxc7eXkQv7TiVC8Rs3n5QDo5/1kIscvZuGMl5Cwn27BqhMpkSx1FViGHtSI4\np9iI01zjtIHfMxXdrXs5zZoNAhQS2iUx5MpE8iIt2O3JWGK1n1N/HsIXeatoNcvlUhXfZihjvhhp\nurqxbc5Iixaan/iy/XNZ+5tm7XlfTl8URWHpv1bw53cHaF+nA0v/tZLkpSPJ+MSQtVicCo9dTnQB\neprb2GIVFxei68B3CvgXmQcPQtEV2ncNPQhZE7DmDMMaMQdCFjOn9fuaypoh0DqlZ8ElmKOqKpNz\n4rA6aumiCyDLvw3WjTOhUOHRe0/AxmoV9Imf/t+TIFyqnNegvWbNGvr164e/vz8dOnSgQ4cO5/P2\nwjnibaWTkBCipc0rKYIymoI0a2bH318hL895BW9a5bCywQxuXdvYdSM9DasFzJxid/ML196s06d7\nw4YizyryiNkQ/bomx2kpN3+ZxfNJYq5HD3L37na3vmXFY19+bkyKyfvZ319x7Fu7gs57TVNMAfvd\n3in6ytz52lmp7k1QxM8PWra08+1PZmtPQL9ut7p9qeZXg5cj0umW4xRmcG1JmNTX3Iq8XJMcred7\n4ULt95afrxD/nqNf31FbcOXYYjLGLXCMUyuqM66yjfv2Q8piYBtYV6ZhdatWr1/PeYbb9/X27wm3\nTIIgXMKcV0W0qVOn4ufnR15eHuXl5Tz22GO0bdu20nNEEa3qqcjX+tVXi5m4Oc6k3tXe/1ZSbtJW\ni05RjNQdVj7bvZR3e6eQ/MlIMmYNMVU3b9hQROvWmsxn4vIhJiUtp2pXWtoJal9x1BSweP4PLb3u\nCI7OSYJnIZzqUATzVDQDSFrZUffNPkkQo5hBp5cH0aWLis2mcsMN1Su8Tp9mfXXZUG8qXt6+U59m\nffUVtfMc93O9vX+s5E9T8Dfx/FEy12qzK5MwjiEIJkX0dHlZV7Jn7HyOTZqo7Nt3bspjQQtT8c/e\nTOk11/L5FUkerWje8Xy+3cL68tEdi0wTI0G42KkSRbT09HTS09NN7xUWFnL99deTkpLCd999x5Qp\nU1i8ePE/NQThb8LPD682mvXqwbSo93n8mKvX+KOE96kbCjabJk3q1B/POOxKD3cbCS9HDNaDkXOl\npigKA1rGoKrwSKtZTP1hhO7Y1KyZnbtXjTAPYHwbzRkqNhF23ElcXEU62p4rZEATNrnnZqIPlnj0\ncY/LTocp84l4Nh4iBuuWmOy4k27dypl7u7Y6rhOs7VcbV8sJ7Vw92YqiUCe4LnWDw1g9aC19PrqR\nOsF19e9u/OmU5zSmwafvGkH/FjF0CUpico45nW4idih5eQtp3FibBBUUONrsnApsWLBu3OJw4qoc\n54QnM7PonJTHnMYpSkkJwUFWbpmukJk51KvsbGpqMS1aqPp2y0n7DNPEzD2TIQiXOv9Y0B48eDCD\nBw82vffGG2/QsmVLFEUhKiqKgoKCCs4WfIHExGqQEGdykZqwbiQf9l3E118b2qWC0jxSyjWCwFvF\nd0K7JO5qm4iiKCxps8gRzFT27rXQOTSG4rowoGQ2U36NcIizaL3M7dvb9F5tTypooXLYWWY1aMDw\nvUGmPm5ar4XHLienGGjn59pXzxnOy5GakIi1XxpJK+JYbdivLj4B1wUk6cG4WTM7R04WUnjyMBFW\nbTuo8GQhdrvdI3Br8rEhWk91a1ca/MRJmHj/GHPP+rCe2neYs84xabmD+FRthZ2WVsyao3Mh4bMK\ne7fPFOeKuTwyipL4hNOfgGbm4lSYU0pKCNyymfCEBJOvuRNjOl3LSpgnZmO+GOl1n18QLlXO6552\nz549WbhwIbfddhu5ublcccUV5/P2wl/A3ZFLT0E7XaQWz6fbK3F0Do0xB2wvAfN0f4i9B7NQYCww\nhgwUZs/PZvgvrhVZ5b3aCqNvGMD6kjzqhdSj3F7OhoL1+qfWnPXA/1XYx+3e3uR0lLJYLLxz8/tc\nObup/lnGxDS6lbhSW5mZRbzVK4U2H7jS2rmF+cR/eieKonDoxEHu6zjWsDr3zAo8dfUs+jgmDPrk\n4b0tWuo7NhEWz3PYWmrHaEI2n1VY0OddQ9yTusvnU92hyW5LtXLoN1DtoHy7GbVzFL8P9K4NXh4Z\nhbrAilJSghoURHlkVIX3MOLMtMDp9/kF4VLlvAbta665hvXr1xMXFwfAk08+eT5vL/wFKjRpMASS\nB+p+RPxgd1ctRQ/sThGSfs01nXIjZ+7SpAXMlKPmFdnjm0cCy/G20k5LK6Znz0QslqHM3z6XaVlP\nmQ+IHYo1dZkjgKkQO9Dt8wRI/dRwf4352+fynJdrGSui8/Jg0nfmtPae4h3sKd6hv/5w01Ia/JqM\n3e4oXnOb5Ez9YQTgNFkxfL92SxyB2aCc5gzq7tsBjomHU0M8mBKGo7XTVRS4Q7e5Vsx+pSXkzXyc\n7r8VaxmJ1R/y7LTLsJLMa6+dJCrKpqexmw/WVuTuK3RvXQju7xkzLbLCFgRPzrsi2gMPPMADDzxw\nvm8r/KOYV8YeOAJ76Phi5vVfxO7dFg8XsbPbP1W4sV4MIdXg4fBZ9HlvFNledLSdOFuSVBVW7P2U\nwlOF+me1AsMYdXt/Ot52goIChYceCjZpdDeZ2gPl6nyeSv2VmUeG06tBDM2bJ6GqKp/tXkbhSZdl\nZg2/MG7fUI9o7tdXsfHxoYyecTsZOyuQYgVy/pNGfInheRizF6/GcWO9GDLcvptWmGfe/zVV2rtv\nBzgmE9FkVaghbqz2B7gsKwp1ubZiPmlRoNrvBDs+C6aM6LofYL0lnQcfNafgMzOLCI9P8Eine5uU\neXvPPdMiCIILkTEVzgn3dDlULjeZlnaC5s0r9kg+Pc42Kjtg4bZGSUwIT9TsNx3SnqfDKWhirMDe\nlPgdNS+7HLDzv3VWh0b3PIdGdzr78i3QYCvDdmryXX9SwASLthJ8pNUsvsh3Bc3b//tfZtgmeqxi\ne12ezHupo7Xv4E2Kddj18N736Cplj8bRuPEgLOMtNG2qVaYPdHvWzZrZSV7pVphnXOXvuJN27Ww8\nHD6L1/ePoHXHAXSJOkmLrGsoTQ8i0G7W99ayEXZTEC0LT+C4BU6s2czDSyOh01i67zO0jbU6ou/9\n6+QM89i7dmZRvP2bcRdlEQShciRoC+eEt3S50b/aiXP15j397epnNv6hdyp0OVueMk9Z6fb2UrrU\n6cOc3dMZ3vIRnvxpNXXz65J/pFArdDOs9NxXjM7AoKqqh6DJ2C/vZV7/RQAGjW5Hurnht1Bc13R8\nKPWw2cDPT3WkrV1Et5hO8C7PVeyBA4qmnNbuY80BLHwV+BlnOObn9r3lQ1J2ai1y93zuWZHuPOe6\n6jF84VzBu7t25QxjR84wtC725bybWUx4uI3crgmMTAvy2NM2CqQYKYlPYE9UAtbgu/SCw+gCyApo\nhTX8CsBgLepY6bu3BjqzKOKDLQh/nfPap30uSJ/22eFsGzJy5vvFf+2aTi/rggLXsY0aqfofbCe5\nuQpdxy7yKsqSxIeMvWUW65v8Qex/VzD6i5EcKNrP9iM/4k7d4DBTelrr6V5KZuaJCoODsWfcvUXr\nz1NHTUVlgCZxGmK4x66+fD0qnTZt4H/rrExbslz/Dkkb6jP71/m6S9UoZuj75E2f70h+yTbvD/j5\no1BS0/FCpetbt5JZ+Ln+sbGv20hurqPa3F09zItASeY7QwgPVx3nuNcdaIG1/bfzvVaK22zw5gYr\naw59gs1uY9PvX3r/Ho6eevdJyLm2jgnCpUplfdoStC8yvP1R/qt/NM/mmmdybHm5yqAlQ8g4bBZR\nSUodxAxGa4VOfuha172a3MyafZ6BIifpR72NCuDt8B2kHHyQW5oM5F/NkvX33ScY3oRLvAq7ABxq\nD/W3u14f7MjCG7/hpptUr0Hz58dnoHy7mWdW9zAUeKlc92ZvzQvcGwc7wntbSE09wbaAD8n482PW\n7nd939U37Sc0oKb+2vl9du2Cbt2qYwzY8+cX8dyewWwvX2l6thnjFtCqlfffT1paMbf8Oo+ajzgq\nxQOD2PPI6xT2N1eHq6rK8dJjZoGXXbdolqGxQxl9wwB6XZ5c4UpbEIQzo7KgLS5fwnnH319hbozZ\nLIPF84lmk6tIymHdCKBW4ODV56MbTa/vz21HTvFKpi9drrt2eTP/8FbopCgK/VsMpG5wmOnYhldY\nYGc/h8lJf8iawK+/WrDZcEimFpOWVkxa2gnS0oo53H8ov019zaMiWzkDUZPmze1sKlpqCtgAfd67\nz+P7pO6wMjlnsIexir+/wvZnFpovvHg++/ZV7F7WtKlK4BZzpfiqZ773+vzctxewB2ge36nL6HV5\nstcKcUEQ/j5kT1s473jbWyZ2KFmpg3QfZqN14/4/fuPmJrfQu/ktvPLtC0zq/Ahf5X9BnWBtTzvj\nsZku8w+o1DbSHWPqv0vQ3dzXUmHT8aW82/t9xn55L+Glt/Pek6O166V+Cig8mANdurj2ad1Xl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K032p3Vu0zmSl6W2/e8wXIz1Uzc4WU8X7X5QMdV/J5+dLClwQfBkJ2oIHZ5LWrUqM+8TG94yu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\nIAiCjyBBWxAEQRB8BAnagiAIguAj/D+TmhVFwaw9eQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff3b9856eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_tsne_2D(df_tsne, 'regime', 'S&P 500 dimensionality reduction with t-SNE (perplexity=%d)' % perplexity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "coursera": {
   "course_slug": "machine-learning-in-finance"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
